Fundamentals of Modern Electric Circuit Analysis and Filter Synthesis
This textbook explains the fundamentals of electric circuits and uses the transfer function as a tool to analyze circuits, systems, and filters. The author avoids the Fourier transform, since this topic is often not taught in circuits courses. General transfer functions for low pass, high pass, band pass and band reject filters are demonstrated, with first order and higher order filters explained in plain language. The author's presentation is designed to be accessible to a broad audience, with the concepts of circuit analysis explained in basic language, reinforced by numerous, solved examples.
Robust Control for Discrete-Time Markovian Jump Systems in the Finite-Time Domain
This book provides robust analysis and synthesis tools for Markovian jump systems in the finite-time domain with specified performances. It explores how these tools can make the systems more applicable to fields such as economic systems, ecological systems and solar thermal central receivers, by limiting system trajectories in the desired bound in a given time interval.Robust Control for Discrete-Time Markovian Jump Systems in the Finite-Time Domain focuses on multiple aspects of finite-time stability and control, including: finite-time H-infinity control;finite-time sliding mode control;finite-time multi-frequency control;finite-time model predictive control; andhigh-order moment finite-time control for multi-mode systems and also provides many methods and algorithms to solve problems related to Markovian jump systems with simulation examples that illustrate the design procedure and confirm the results of the methods proposed.The thorough discussion of these topics makes the book a useful guide for researchers, industrial engineers and graduate students alike, enabling them systematically to establish the modeling, analysis and synthesis for Markovian jump systems in the finite-time domain.
Analog and Mixed-Signal Circuits in Nanoscale CMOS
This book provides readers with a single-source reference to the state-of-the-art in analog and mixed-signal circuit design in nanoscale CMOS. Renowned authors from academia describe creative circuit solutions and techniques, in state-of-the-art designs, enabling readers to deal with today's technology demands for high integration levels with a strong miniaturization capability.
The Next Era in Hardware Security
This book provides a comprehensive coverage of hardware security concepts, derived from the unique characteristics of emerging logic and memory devices and related architectures. The primary focus is on mapping device-specific properties, such as multi-functionality, runtime polymorphism, intrinsic entropy, nonlinearity, ease of heterogeneous integration, and tamper-resilience to the corresponding security primitives that they help realize, such as static and dynamic camouflaging, true random number generation, physically unclonable functions, secure heterogeneous and large-scale systems, and tamper-proof memories. The authors discuss several device technologies offering the desired properties (including spintronics switches, memristors, silicon nanowire transistors and ferroelectric devices) for such security primitives and schemes, while also providing a detailed case study for each of the outlined security applications. Overall, the book gives a holistic perspective of how the promising properties found in emerging devices, which are not readily afforded by traditional CMOS devices and systems, can help advance the field of hardware security.
Digital Signal Processing for Wireless Communication Using MATLAB
The updated book presents Matlab illustrations on various digital signal processing (DSP) techniques such as random process, time varying wireless system model, and detection and estimation theory used in wireless communication. The book also covers recent wireless techniques like OFDM, massive MIMO techniques, non-orthogonal multiple access, millimeter wave MIMO, full duplex, cognitive radio, co-operating communication, unmanned aerial vehicles etc. This book is suitable for those who are doing basic and applied research in digital signal processing for wireless communication.
Physical Aspects of Diagnostics
The updated edition of the second of three volumes on Medical Physics presents modern physical methods for medical diagnostics. It provides a solid background on imaging techniques that use non-ionizing probes (ultrasound, endoscopy including CLE and OCT, MRI) and imaging techniques that use ionizing radiation (X-ray radiography, CT, SPECT, PET). Radiation sources, interactions of radiation with matter and radiation protection for x-rays, -rays, protons and neutrons are presented. Some of these topics are also relevant to the therapeutic applications presented in Volume 3. NEW: highlighted boxes emphasize specifi c topics; math boxes explain more advanced mathematical issues; each chapter concludes with a summary of the key concepts, questions, a self-assessment of the acquired competence and exercises. The appendix provides answers to questions and solutions to exercises.
Programming the ARM(R) Cortex(R)-M4-based STM32F4 Microcontrollers with Simulink(R)
A microcontroller is a compact, integrated circuit designed to govern a specific operation in an embedded system. A typical microcontroller includes a processor, memory, and input/output (I/O) peripherals on a single chip. When they first became available, microcontrollers solely used Assembly language. Today, the C programming language (and some other high-level languages) can be used as well. Some of advanced microcontrollers support another programming technique as well: Graphical programming. In graphical programming, the user does not write any code but draws the block diagram of the system he wants. Then a software converts the drawn block diagram into a suitable code for the target device. Programming microcontrollers using graphical programming is quite easier than programming in C or Assembly. You can implement a complex system within hours with graphical programming while its implementation in C may take months. These features make the graphical programming an important option for engineers. This book study the graphical programming of STM32F4 high-performance microcontrollers with the aid of Simulink\textregistered\ and Waijung blockset. Students of engineering (for instance, electrical, biomedical, mechatronics and robotic to name a few), engineers who work in industry, and anyone who want to learn the graphical programming of STM32F4 can benefit from this book. Prerequisite for this book is the basic knowledge of MATLABi\textregistered/Simulink\textregistered.
Machine Design for Technology Students
This book is intended for students taking a Machine Design course leading to a Mechanical Engineering Technology degree. It can be adapted to a Machine Design course for Mechanical Engineering students or used as a reference for adopting systems engineering into a design course. The book introduces the fundamentals of systems engineering, the concept of synthesis, and the basics of trade-off studies. It covers the use of a functional flow block diagram to transform design requirements into the design space to identify all success modes. The book discusses fundamental stress analysis for structures under axial, torsional, or bending loads. In addition, the book discusses the development of analyzing shafts under combined loads by using Mohr's circle and failure mode criterion. Chapter 3 provides an overview of fatigue and the process to develop the shaft-sizing equations under dynamic loading conditions. Chapter 4 discusses power equations and the nomenclature and stress analysis for spur and straight bevel gears and equations for analyzing gear trains. Other machine component topics include derivation of the disc clutch and its relationship to compression springs, derivation of the flat belt equations, roller and ball bearing life equations, roller chains, and keyways. Chapter 5 introduces the area of computational machine design and provides codes for developing simple and powerful computational methods to solve: cross product required to calculate the torques and bending moments on shafts, 1D stress analysis, reaction loads on support bearings, Mohr's circle, shaft sizing under dynamic loading, and cone clutch. The final chapter shows how to integrate Systems Engineering into machine design for a capstone project as a project-based collaborative design methodology. The chapter shows how each design requirement is transformed through the design space to identify the proper engineering equations.
Polynomial Functional Dynamical Systems
The book is about the global stability and bifurcation of equilibriums in polynomial functional systems. Appearing and switching bifurcations of simple and higher-order equilibriums in the polynomial functional systems are discussed, and such bifurcations of equilibriums are not only for simple equilibriums but for higher-order equilibriums. The third-order sink and source bifurcations for simple equilibriums are presented in the polynomial functional systems. The third-order sink and source switching bifurcations for saddle and nodes are also presented, and the fourth-order upper-saddle and lower-saddle switching and appearing bifurcations are presented for two second-order upper-saddles and two second-order lower-saddles, respectively. In general, the (2���� + 1)th-order sink and source switching bifurcations for (2��������)th-order saddles and (2�������� +1)-order nodes are also presented, and the (2����)th-order upper-saddle and lower-saddle switching and appearing bifurcations arepresented for (2��������)th-order upper-saddles and (2��������)th-order lower-saddles (����, ���� = 1,2, ...). The vector fields in nonlinear dynamical systems are polynomial functional. Complex dynamical systems can be constructed with polynomial algebraic structures, and the corresponding singularity and motion complexity can be easily determined.
Asymptotic Modal Analysis of Structural and Acoustical Systems
Cold Atmospheric Plasma (CAP) Technology and Applications
Cold atmospheric plasma (CAP) is a promising and rapidly emerging technology for a wide range of applications, from daily life to industry. CAP's key advantage is its unique ability to effectively deliver reactive species to subjects including biological materials, liquid media, aerosols, and manufactured surfaces. This book assesses the state-of-art in CAP research and implementation for applications including agriculture, medicine, environment, materials, catalysis, and energy. The mechanisms of generation and transport of the key reactive species in the plasma are introduced and examined in the context of their applications. Opportunities and challenges for novel technologies, fresh ideas/concepts, expanded multidisciplinary study, and new applications are discussed. The authors' vision for the converging trends across diverse disciplines is proposed to stimulate critical discussions, research directions, and collaborations.
The Engineering Dynamics Course Companion, Part 2
Engineering Dynamics Course Companion, Part 2: Rigid Bodies: Kinematics and Kinetics is a supplemental textbook intended to assist students, especially visual learners, in their approach to Sophomore-level Engineering Dynamics. This text covers particle kinematics and kinetics and emphasizes Newtonian Mechanics ``Problem Solving Skills'' in an accessible and fun format, organized to coincide with the first half of a semester schedule many instructors choose, and supplied with numerous example problems. While this book addresses Rigid Body Dynamics, a separate book (Part 1) is available that covers Particle Dynamics.
The Engineering Dynamics Course Companion, Part 1
Engineering Dynamics Course Companion, Part 1: Particles: Kinematics and Kinetics is a supplemental textbook intended to assist students, especially visual learners, in their approach to Sophomore-level Engineering Dynamics. This text covers particle kinematics and kinetics and emphasizes Newtonian Mechanics "Problem Solving Skills" in an accessible and fun format, organized to coincide with the first half of a semester schedule many instructors choose, and supplied with numerous example problems. While this book addresses Particle Dynamics, a separate book (Part 2) is available that covers Rigid Body Dynamics.
Whole-Body Control for Multi-Contact Balancing of Humanoid Robots
Introduction.- Notation.- Modeling.- Cartesian Compliance.- Torque-Controlled Humanoid Robot TORO.- Whole-Body Control for Multi-Contact Balancing.- Combining Multi-Contact Balancing with Hierarchical Whole-Body Control.- Balance Control based on Reduced Dynamic Models.- Applications.- Discussion and Conclusion.
Tracking Control of Networked Systems Via Sliding-Mode
Chapter 1. Related background and pre-knowledge.- ​Chapter 2. Adaptive sliding-mode tracking control for networked systems with disturbance.- ​Chapter 3. Robust sliding-mode tracking control for networked system with random delay and packet dropouts.- ​Chapter 4. High-order sliding-mode tracking control of networked systems with communication constraints.- ​Chapter 5. Fast sliding-mode tracking control for networked systems with actuator faults.- ​Chapter 6. Finite-time sliding-mode tracking control for networked systems with faults and disturbances.- ​Chapter 7. Super-twisting sliding-mode tracking control for networked systems with multi-channels transmission.- ​Chapter 8. Resilient sliding-mode tracking control for networked systems with Denial of Service (DoS) attack.- ​Chapter 9. Terminal integral sliding-mode tracking control for networked systems with False Data Injection (FDI) attacks
High Performance and Power Efficient Electrocardiogram Detectors
High-Z Materials for X-Ray Detection
This book will provide readers with a good overview of some of most recent advances in the field of High-Z materials. There will be a good mixture of general chapters in both technology and applications in opto-electronics, X-ray detection and emerging optoelectronics applications. The book will have an in-depth review of the research topics from world-leading specialists in the field.
Digital Logic Design Using Verilog
Introduction.- Combinational Logic Design (Part I).- Combinational Logic Design (Part II).- Combinational Design Guidelines.- Sequential Logic Design.- Sequential Design Guidelines.- Complex Designs using Verilog RTL.- Finite State Machines.- Simulation Concepts and PLD Based Designs.- RTL Synthesis.- Static Timing Analysis (STA).- Constraining Design.- Multiple Clock Domain Designs.- Low Power Design.- RTL Design for SOCs.
Intelligent Electronics and Circuits
Intelligent electronics could shape future smart cities and promote initiatives on exploring brand-new integrated circuits, high-effective intelligent reconfigurable surfaces, nondestructive evaluation, terahertz (THz), ITS, 6G, medical and safety imaging, and signal filtering. This book presents mainstream principles, circuitry architectures, and a development roadmap for intelligent electronic systems. Its content ranges from theoretical basis to materials characteristics, and from featured advances to practical applications.
Artificial Intelligence Made Simple
These are super exciting times! Artificial intelligence, machine learning, and robotics have finally emerged out of the pages of science fiction. They are here and now, living and breathing with us. This book will simplify the basic concepts of AI and introduce you to its possible impact on human beings. This book tries to examine the technology, business and ethics of AI, and the debates which are at the center of today's tech discourse. As 2020 approaches, general people, IT leaders and organizations are trying to read the writing on the wall and want to know where the world is headed and what does the future look like. This book will also try to address the concerns about the emergence of robots and intelligent machines. Happy Reading!
Distributed Cooperative Model Predictive Control of Networked Systems
Introduction Distributed Model Predictive Control of Networked Systems with Event-triggered ComputationDistributed Asynchronous Model Predictive Control of Networked Systems with Event-triggered Communication Distributed Dynamic Event-triggered Model Predictive Control of Networked systemsDistributed Mixed Time/event-triggered Distributed Model Predictive Control of Networked SystemsSelf-triggered Distributed Model Predictive Control of Networked SystemsEvent-triggered Distributed Model Predictive Control for Interconnected Networked Systems.
Machine and Deep Learning Algorithms and Applications
This book introduces basic machine learning concepts and applications for a broad audience that includes students, faculty, and industry practitioners. We begin by describing how machine learning provides capabilities to computers and embedded systems to learn from data. A typical machine learning algorithm involves training, and generally the performance of a machine learning model improves with more training data. Deep learning is a sub-area of machine learning that involves extensive use of layers of artificial neural networks typically trained on massive amounts of data. Machine and deep learning methods are often used in contemporary data science tasks to address the growing data sets and detect, cluster, and classify data patterns. Although machine learning commercial interest has grown relatively recently, the roots of machine learning go back to decades ago. We note that nearly all organizations, including industry, government, defense, and health, are using machine learning toaddress a variety of needs and applications. The machine learning paradigms presented can be broadly divided into the following three categories: supervised learning, unsupervised learning, and semi-supervised learning. Supervised learning algorithms focus on learning a mapping function, and they are trained with supervision on labeled data. Supervised learning is further sub-divided into classification and regression algorithms. Unsupervised learning typically does not have access to ground truth, and often the goal is to learn or uncover the hidden pattern in the data. Through semi-supervised learning, one can effectively utilize a large volume of unlabeled data and a limited amount of labeled data to improve machine learning model performances. Deep learning and neural networks are also covered in this book. Deep neural networks have attracted a lot of interest during the last ten years due to the availability of graphics processing units (GPU) computational power, big data, and new software platforms. They have strong capabilities in terms of learning complex mapping functions for different types of data. We organize the book as follows. The book starts by introducing concepts in supervised, unsupervised, and semi-supervised learning. Several algorithms and their inner workings are presented within these three categories. We then continue with a brief introduction to artificial neural network algorithms and their properties. In addition, we cover an array of applications and provide extensive bibliography. The book ends with a summary of the key machine learning concepts.
A Primer on Memory Persistency
This book introduces readers to emerging persistent memory (PM) technologies that promise the performance of dynamic random-access memory (DRAM) with the durability of traditional storage media, such as hard disks and solid-state drives (SSDs). Persistent memories (PMs), such as Intel's Optane DC persistent memories, are commercially available today. Unlike traditional storage devices, PMs can be accessed over a byte-addressable load-store interface with access latency that is comparable to DRAM. Unfortunately, existing hardware and software systems are ill-equipped to fully avail the potential of these byte-addressable memory technologies as they have been designed to access traditional storage media over a block-based interface. Several mechanisms have been explored in the research literature over the past decade to design hardware and software systems that provide high-performance access to PMs.Because PMs are durable, they can retain data across failures, such as power failures andprogram crashes. Upon a failure, recovery mechanisms may inspect PM data, reconstruct state and resume program execution. Correct recovery of data requires that operations to the PM are properly ordered during normal program execution. Memory persistency models define the order in which memory operations are performed at the PM. Much like memory consistency models, memory persistency models may be relaxed to improve application performance. Several proposals have emerged recently to design memory persistency models for hardware and software systems and for high-level programming languages. These proposals differ in several key aspects; they relax PM ordering constraints, introduce varying programmability burden, and introduce differing granularity of failure atomicity for PM operations.This primer provides a detailed overview of the various classes of the memory persistency models, their implementations in hardware, programming languages and software systems proposed in the recent research literature, and the PM ordering techniques employed by modern processors.
Selected Sensor Circuits
This book shows the steps from data sheets of sensors to the extraction of model parameters for the program PSPICE in order to realize circuit analyses. Physical ENTITIES as temperature, humidity, light, pressure and sound are included by equations. The simulation concerns temperature displays, characteristics of humidity-sensors, light-to-voltage Converters, strain gauges, reed relays and Piezol-electric-sounders US-Converters and SAW Components
Modern Information Optics with MATLAB
An easy-to-understand course book, based on the authentic lectures and detailed research, conducted by the authors themselves, on information optics, holography and MATLAB. This book is the first to highlight the incoherent optical system, provide up-to-date, novel digital holography techniques, and demonstrate MATLAB codes to accomplish tasks such as optical image processing and pattern recognition. This title is a comprehensive introduction to the basics of Fourier optics as well as optical image processing and digital holography. A step-by-step guide which details the vast majority of the derivations, without omitting essential steps, to facilitate a clear mathematical understanding. This book also features exercises at the end of each chapter, providing hands-on experience and consolidating understanding. An ideal companion for graduates and researchers involved in engineering and applied physics, as well as interested in the growing field of information optics.
Introduction to Semiconductor Physics and Devices
I Fundamental Physics1 Principles of Quantum Mechanics 1.1 Wave-particle duality . . . . . . . . . . . . . . . . . . . . . . . 9 1.2 Wavelength of a free particle in terms of its energy . . . . . . 11 1.3 Energy quantization . . . . . . . . . . . . . . . . . . . . . . . 12 1.4 Radiation spectrum of Hydrogen . . . . . . . . . . . . . . . . 13 1.5 The wave function . . . . . . . . . . . . . . . . . . . . . . . . 15 1.6 The wave function of a free particle . . . . . . . . . . . . . . . 16 1.7 Schr繹dinger's equation . . . . . . . . . . . . . . . . . . . . . . 17 1.7.1 Time-dependent Schr繹dinger's equation . . . . . . . . . 17 1.7.2 Time-independent Schr繹dinger's equation . . . . . . . . 19 1.8 Probabilistic interpretation and collapse of the wave function . . . 19 1.9 The many-particle wave function . . . . . . . . . . . . . . . . 22 1.10 Electron states in a Hydrogen atom . . . . . . . . . . . . . . . 22 1.11 Spin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 1.12 Degeneracy . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 1.13 Indistinguishability of quantum particles . . . . . . . . . . . . 24 1.14 Spin-statistics theorem . . . . . . . . . . . . . . . . . . . . . . 25 1.15 Pauli's exclusion principle . . . . . . . . . . . . . . . . . . . . 26 1.16 Appendix. A crash course in complex numbers . . . . . . . . . 26 2 Crystal Structure of Solids 2.1 Periodic table of elements . . . . . . . . . . . . . . . . . . . . 30 2.2 Chemical bonding . . . . . . . . . . . . . . . . . . . . . . . . . 31 2.3 Atomic order in solids . . . . . . . . . . . . . . . . . . . . . . 33 2.4 Bravais lattices . . . . . . . . . . . . . . . . . . . . . . . . . . 33 2.5 Primitive unit cell . . . . . . . . . . . . . . . . . . . . . . . . . 34 2.6 Crystal basis . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 2.7 Volume density and atomic packing factor . . . . . . . . . . . 35 2.8 Basic cubic structures . . . . . . . . . . . . . . . . . . . . . . 36 2.9 Formation of diamond structure . . . . . . . . . . . . . . . . . 37 2.10 Miller indices . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 2.11 Miller indices for cubic structures . . . . . . . . . . . . . . . . 40 2.12 Imperfections and impurities in solids . . . . . . . . . . . . . . 41 3 Equilibrium Statistical Mechanics 3.1 Probability theory . . . . . . . . . . . . . . . . . . . . . . . . 43 3.2 Microstates and macrostates . . . . . . . . . . . . . . . . . . . 45 3.3 Probabilistic description . . . . . . . . . . . . . . . . . . . . . 46 3.4 Thermodynamic equilibrium . . . . . . . . . . . . . . . . . . . 46 3.5 Postulate of equal a priori probabilities . . . . . . . . . . . . . 47 3.6 Grand canonical distribution . . . . . . . . . . . . . . . . . . . 48 3.7 Fermi-Dirac distribution . . . . . . . . . . . . . . . . . . . . . 50 3.8 Boltzmann approximation . . . . . . . . . . . . . . . . . . . . 52 3.9 Fermi energy at zero temperature . . . . . . . . . . . . . . . . 53 4 Band Theory of Solids 4.1 Electron states in a crystal lattice . . . . . . . . . . . . . . . . 55 4.2 Bloch's theorem . . . . . . . . . . . . . . . . . . . . . . . . . . 56 4.3 Energy bands . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 4.4 Conduction types of solids . . . . . . . . . . . . . . . . . . . . 59 4.4.1 Completely filled bands do not contribute to conductivity 59 4.4.2 Metals and semimetals . . . . . . . . . . . . . . . . . . 60 4.4.3 Dielectrics and semiconductors . . . . . . . . . . . . . 60 4.5 Conduction and valence
Semiconductor Microchips and Fabrication
Semiconductor Microchips and Fabrication Advanced and highly illustrated guide to semiconductor manufacturing from an experienced industry insider Semiconductor Microchips and Fabrication is a practical yet advanced book on the theory, design, and manufacturing of semiconductor microchips that describes the process using the principles of physics and chemistry, fills in the knowledge gaps for professionals and students who need to know how manufacturing equipment works, and provides valuable suggestions and solutions to many problems that students or engineers often encounter in semiconductor processing, including useful experiment results to help in process work. The explanation of the semiconductor manufacturing process, and the equipment needed, is carried out based on the machines that are used in clean rooms over the world so readers understand how they can use the equipment to achieve their design and manufacturing ambitions. Combining theory with practice, all descriptions are carried out around the actual equipment and processes by way of a highly visual text, with illustrations including equipment pictures, manufacturing process schematics, and structures of semiconductor microchips. Sample topics covered in Semiconductor Microchips and Fabrication include: An introduction to basic concepts, such as impedance mismatch from plasma machines and theories, such as energy bands and Clausius-Clapeyron equation Basic knowledge used in semiconductor devices and manufacturing machines, including DC and AC circuits, electric fields, magnetic fields, resonant cavity, and the components used in the devices and machines Transistor and integrated circuits, including bipolar transistors, junction field effect transistors, and metal-semiconductor field effect transistors The main processes used in the manufacturing of microchips, including lithography, metallization, reactive-ion etching (RIE), plasma-enhanced chemical vapor deposition (PECVD), thermal oxidation and implantation, and more The skills in the design and problem solving of processes, such as how to design a dry etching recipe, and how to solve the micro-grass problems in Bosch process Through Semiconductor Microchips and Fabrication, readers can obtain the fundamental knowledge and skills of semiconductor manufacturing, which will help them better understand and use semiconductor technology to improve their product quality or project research. Before approaching this text, readers should have basic knowledge of physics, chemistry, and circuitry.
Internet of Things and M2m Communication Technologies
Introduction.- Design of IoT.- M2M Communication.- M2M Protocols.- Internet Technologies.- Sensors and actuators.- Capturing Modules.- Cloud Interface .- IOT Product design.- IOT software.- Business Models.
Event-Triggered Cooperative Control: Analysis and Synthesis
The book provides a systematic and in-depth introduction to distributed event-triggered cooperative control for multi-agent systems from a theoretical perspective, which will be of particular interest to the readers. The included major research topics include: a unified design and analysis framework for centralized, clustered and distributed event-triggered schemes; fully distributed design for event/self-triggered schemes; resilient event-triggered control under malicious attacks; and various methods to aovid Zeno behavior. The comprehensive and systematic treatment of event-triggered communication and control in multi-agent system is one of the major features of the book, which is particularly suited for readers who are interested in learning principles and methods to deal with communication constraints in multi-agent systems and to design energy-saving control protocols. The book can benefit researchers, engineers, and graduate students in the fields of complex networks, smart grids, applied mathematics, electrical and electronic engineering, and computer engineering, etc.
The Technology of Instrument Transformers
Systematischer Einstieg in die Messwandler-TechnologieDarstellung wichtiger Grundlagen der Messwandler-TechnologieWas man zur Messwandler-Technologie wissen sollte
Industrial Robotics Control
Build a complete control system for industrial robots, learning all the theory and practical tips from the perspective of an automation engineer. Explore the details of kinematics, trajectories, and motion control, and then create your own circuit board to drive the electric motors and move the robot.After covering the theory, readers can put what they've learned in practice by programming a control firmware for the robot. Each software component is described in detail, from the HMI and the interpreter of motion commands, to the servo loop controller at the core of each servo drive. In particular, the author presents the commutation algorithm and the servo loop controller for brushless synchronous motors, which are typically employed in robotics applications. Readers will also learn how to calibrate the robot, commission it to the end-user, and design a digital twin to test and monitor the entire workcell in a safe simulated environment. Finally, the book delves into hardware, covering how to select and use electric motors and encoders, how to build servo drives and motion controllers, and how to design your own PCBs. Different electronic components and their application circuits are analyzed, showing the advantages and drawbacks of each. By the end of the book you should be able to design and build electronic boards and write their core firmware to control any kind of industrial robot for all sorts of different practical applications. What you'll learn Solve kinematics models of robotsGenerate safe paths and optimal motion trajectoriesCreate a digital twin of your robot to test and monitor its movementsMaster the electronic commutation and closed-loop control of brushless motorsDesign electronics circuit boards for motion applications Who This Book Is For Robotics engineers (and students) who want to understand the theory behind the control of robotics arms, from the kinematic models of their axes to the electronic commutation of their motors. Some basic calculus and linear algebra is required for the understanding of the geometrical framework, while some electronics foundations are helpful to grasp the details of the circuits design.
Real-Time Systems
"This book is a comprehensive text for the design of safety critical, hard real-time embedded systems. It offers a splendid example for the balanced, integrated treatment of systems and software engineering, helping readers tackle the hardest problems of advanced real-time system design, such as determinism, compositionality, timing and fault management. This book is an essential reading for advanced undergraduates and graduate students in a wide range of disciplines impacted by embedded computing and software. Its conceptual clarity, the style of explanations and the examples make the abstract concepts accessible for a wide audience."Janos Sztipanovits, DirectorE. Bronson Ingram Distinguished Professor of EngineeringInstitute for Software Integrated SystemsVanderbilt UniversityReal-Time Systems focuses on hard real-time systems, which are computing systems that must meet their temporal specification in all anticipated load and fault scenarios. The book stresses the system aspects of distributed real-time applications, treating the issues of real-time, distribution and fault-tolerance from an integral point of view. A unique cross-fertilization of ideas and concepts between the academic and industrial worlds has led to the inclusion of many insightful examples from industry to explain the fundamental scientific concepts in a real-world setting. Compared to the Second Edition, new developments in communication standards for time-sensitive networks, such as TSN and Time-Triggered Ethernet are addressed. Furthermore, this edition includes a new chapter on real-time aspects in cloud and fog computing.The book is written as a standard textbook for a high-level undergraduate or graduate course on real-time embedded systems or cyber-physical systems. Its practical approach to solving real-time problems, along with numerous summary exercises, makes it an excellent choice for researchers and practitioners alike.
Digitalization and Development
This book examines the diffusion of digitalization and industry 4.0 technologies in Malaysia by focusing on the ecosystem critical for its expansion. Bridging the concepts and applications of digitalization and industry 4.0, it will be a must-read for policy makers seeking to quicken the adoption of industry 4.0 technologies.
Essays on Pareto Optimality in Cooperative Games
The book focuses on Pareto optimality in cooperative games. Most of the existing works focus on the Pareto optimality of deterministic continuous-time systems or for the regular convex LQ case. To expand on the available literature, we explore the existence conditions of Pareto solutions in stochastic differential game for more general cases. In addition, the LQ Pareto game for stochastic singular systems, Pareto-based guaranteed cost control for uncertain mean-field stochastic systems, and the existence conditions of Pareto solutions in cooperative difference game are also studied in detail. Addressing Pareto optimality for more general cases and wider systems is one of the major features of the book, making it particularly suitable for readers who are interested in multi-objective optimal control. Accordingly, it offers a valuable asset for researchers, engineers, and graduate students in the fields of control theory and control engineering, economics, management science, mathematics, etc.
Reconstruction and Intelligent Control for Power Plant
The authors' innovative research ideas in power plant control are presented in this book. This book focuses on 1) cognition and reconstruction of the temperature field; 2) intelligent setting and learning of power plants; 3) energy efficiency optimization and intelligent control for power plants, and so on, using historical power plant operation data and creative methods such as reconstruction of the combustion field, deep reinforcement learning, and networked collaborative control. It could help researchers, industrial engineers, and graduate students in the areas of signal detection, image processing, and control engineering.
Understanding GIS Through Sustainable Development Goals
This book applies a pedagogical shift to learning and teaching GIS, as readers employ the concepts and methodologies on real-world problems. A textbook for all educators, it provides 16 case studies across most of the SDGs with step-by-step instructions using QGIS, an open-source software.
Quantum Mechanics for Tomorrow's Engineers
Discover the foundations of quantum mechanics, and explore how these principles are powering a new generation of advances in quantum engineering, in this ground-breaking undergraduate textbook. It explains physical and mathematical principles using cutting-edge electronic, optoelectronic and photonic devices, linking underlying theory with real-world applications; focuses on current technologies and avoids historic approaches, getting students quickly up-to-speed to tackle contemporary engineering challenges; provides an introduction to the foundations of quantum information, and a wealth of real-world quantum examples, including quantum well infrared photodetectors, solar cells, quantum teleportation, quantum computing, band gap engineering, quantum cascade lasers, low-dimensional materials, and van der Waals heterostructures; and includes pedagogical features such as objectives and end-of-chapter homework problems to consolidate student understanding, and solutions for instructors. Designed to inspire the development of future quantum devices and systems, this is the perfect introduction to quantum mechanics for undergraduate electrical engineers and materials scientists.
Signal Processing and Analysis Techniques for Nuclear Quadrupole Resonance Spectroscopy
This book is about improving prohibited substances detection using the nuclear quadrupole resonance (NQR) technique at security checkpoints. The book proposes multiple signal processing and analysis techniques for improving detection of dangerous or contraband substances, such as explosives, narcotics, or toxic substances. Also, several hardware solutions are described and implemented in a custom-designed NQR spectrometer. A new approach to NQR signal detection is introduced using artificial intelligence/deep learning techniques. The book will be useful for for researchers and practitioners in the areas of electrical engineering, signal processing and analysis, applied spectroscopy, as well as for security or laboratory equipment manufacturers.
Analysis and Design for Positive Stochastic Jump Systems
Exponential stability and L1-gain analysis.- Stability and stabilization.- L1-gain and control synthesis.- Finite-time L1 control.- L1 control.- L∞ control.- Robust finite-time stabilization.- Fault detection.- Stochastic stability and L1-gain analysis.- Positive L1 observer design.- Filter design.- Conclusions and future research direction.
Advances in Semiconductor Technologies
Advances in Semiconductor Technologies Discover the broad sweep of semiconductor technologies in this uniquely curated resource Semiconductor technologies and innovations have been the backbone of numerous different fields: electronics, online commerce, the information and communication industry, and the defense industry. For over fifty years, silicon technology and CMOS scaling have been the central focus and primary driver of innovation in the semiconductor industry. Traditional CMOS scaling has approached some fundamental limits, and as a result, the pace of scientific research and discovery for novel semiconductor technologies is increasing with a focus on novel materials, devices, designs, architectures, and computer paradigms. In particular, new computing paradigms and systems--such as quantum computing, artificial intelligence, and Internet of Things--have the potential to unlock unprecedented power and application space. Advances in Semiconductor Technologies provides a comprehensive overview of selected semiconductor technologies and the most up-to-date research topics, looking in particular at mainstream developments in current industry research and development, from emerging materials and devices, to new computing paradigms and applications. This full-coverage volume gives the reader valuable insights into state-of-the-art advances currently being fabricated, a wide range of novel applications currently under investigation, and a glance into the future with emerging technologies in development. Advances in Semiconductor Technologies readers will also find: A comprehensive approach that ensures a thorough understanding of state-of-the-art technologies currently being fabricated Treatments on all aspects of semiconductor technologies, including materials, devices, manufacturing, modeling, design, architecture, and applications Articles written by an impressive team of international academics and industry insiders that provide unique insights into a wide range of topics Advances in Semiconductor Technologies is a useful, time-saving reference for electrical engineers working in industry and research, who are looking to stay abreast of rapidly advancing developments in semiconductor electronics, as well as academics in the field and government policy advisors.
Machine Learning Support for Fault Diagnosis of System-On-Chip
This book provides a state-of-the-art guide to Machine Learning (ML)-based techniques that have been shown to be highly efficient for diagnosis of failures in electronic circuits and systems. The methods discussed can be used for volume diagnosis after manufacturing or for diagnosis of customer returns. Readers will be enabled to deal with huge amount of insightful test data that cannot be exploited otherwise in an efficient, timely manner. After some background on fault diagnosis and machine learning, the authors explain and apply optimized techniques from the ML domain to solve the fault diagnosis problem in the realm of electronic system design and manufacturing. These techniques can be used for failure isolation in logic or analog circuits, board-level fault diagnosis, or even wafer-level failure cluster identification. Evaluation metrics as well as industrial case studies are used to emphasize the usefulness and benefits of using ML-based diagnosis techniques.
Sensor Networks in Theory and Practice
The book provides an important foundation for understanding the Internet of Things by offering insight into common networking protocols from the microcontroller world and introducing important sensors and other devices, as well as their use and programming. All concepts shown are illustrated with practical circuit and programming examples from the authors' many years of experience. In addition, open libraries for controlling the devices presented in the book are available for readers to download from the publisher's home page. The second edition includes some new devices, especially in the area of networks, a more detailed description of the operating principles of some sensors as well as further tips and tricks for programming.
Performance Optimization of Fault Diagnosis Methods for Power Systems
- Chapter 1 Introduction.- Chapter 2 Fault Diagnosis of Variable Pitch for Wind Turbine Based on Multi-innovation Forgetting Gradient Identification Algorithm.- Chapter 3 Active Fault-tolerant Linear Parameter Varying Control for the Pitch Actuator of Wind Turbines.- Chapter 4 Fault Estimation and Fault-tolerant Control of Wind Turbines Using the SDW-LSI Algorithm.- Chapter 5 A New Fault Diagnosis Approach for the Pitch System of Wind Turbines.- Chapter 6 A dual-threshold state analysis and fault location method for power system based on random matrix theory.- Chapter 7 Analysis of grid operation state based on improved MESCM algorithm.- Chapter 8 Joint Weighted Domain Adaptation Network for Bearing Fault Diagnosis under Different Working Conditions.- Chapter 9 ANS-net: anti-noise Siamese network for bearing fault diagnosis with a few data.- Chapter 10 Fault Diagnosis of Rolling Bearing Based on Edge Calculation.
Deep Learning for Computational Problems in Hardware Security
The book discusses a broad overview of traditional machine learning methods and state-of-the-art deep learning practices for hardware security applications, in particular the techniques of launching potent "modeling attacks" on Physically Unclonable Function (PUF) circuits, which are promising hardware security primitives. The volume is self-contained and includes a comprehensive background on PUF circuits, and the necessary mathematical foundation of traditional and advanced machine learning techniques such as support vector machines, logistic regression, neural networks, and deep learning. This book can be used as a self-learning resource for researchers and practitioners of hardware security, and will also be suitable for graduate-level courses on hardware security and application of machine learning in hardware security. A stand-out feature of the book is the availability of reference software code and datasets to replicate the experiments described in the book.
Operational Amplifier
This book covers several aspects of the operational amplifier and includes theoretical explanations with simplified expressions and derivations. The book is designed to serve as a textbook for courses offered to undergraduate and postgraduate students enrolled in electronics and communication engineering. The topics included are DC amplifier, AC/DC analysis of DC amplifier, relevant derivations, a block diagram of the operational amplifier, positive and negative feedbacks, amplitude modulator, current to voltage and voltage to current converters, DAC and ADC, integrator, differentiator, active filters, comparators, sinusoidal and non-sinusoidal waveform generators, phase lock loop (PLL), etc. This book contains two parts-sections A and B. Section A includes theory, methodology, circuit design and derivations. Section B explains the design and study of experiments for laboratory practice. Laboratory experiments enable students to perform a practical activity that demonstrates applications of the operational amplifier. A simplified description of the circuits, working principle and practical approach towards understanding the concept is a unique feature of this book. Simple methods and easy steps of the derivation and lucid presentation are some other traits of this book for readers that do not have any background information about electronics. This book is student-centric towards the basics of the operational amplifier and its applications. The detailed coverage and pedagogical tools make this an ideal textbook for students and researchers enrolled in senior undergraduate and beginning postgraduate electronics and communication engineering courses.
