Sergey Edward Lyshevski

Electromechanical systems, electric machines, and applied mechatronics

Introduction Mechatronics and Emerging Trends in Engineering Basic Foundations Engineering Computations Using MATLAB Analysis and Modeling of Dynamic Systems Using MATLAB: An Introduction Electromechanical System Dynamics, Energy Conversion, and Electromechanical Analogies Mathematical Models and System Dynamics Energy Conversion Electromechanical Analogies Introduction to Feedback Control of Electromechanical Systems Continuous-Time Electromechanical Systems and Analog PID Controllers Analog Control of Permanent-Magnet Direct Current Motors Electromechanical Systems with Digital PID Controllers Control of Permanent-Magnet Direct Current Motor using Digital Controller Introduction to Microelectronic Circuits, Power Electronic Devices, and Power Converters Operational Amplifiers Circuit Elements Power Amplifiers and Power Converters Direct-Current Machines Introduction Doubly Exited Transducer and Introduction to Fundamental of Alternating-Current and Direct-Current Electric Machines Separately Exited Direct-Current Machines Shunt-Connected Direct-Current Machines Series-Connected Direct-Current Machines Compound-Connected Direct-Current Electric Machines Permanent-Magnet Direct-Current Machines Modeling and Analysis of Permanent Magnet DC Generators Model Development and Analysis of Ward-Leonard Systems with DC Electric Machines Induction Machines Introduction Voltage, Flux Linkages, and Torque Equations for Two-Phase Induction Machines: Dynamics in the Machine Variables Mathematical Models of Two-Phase Induction Machines in the Arbitrary, Stationary, Rotor, and Synchronous Reference Frames Voltage, Flux Linkages, and Torque Equations for Three-Phase Induction Machines: Dynamics in the Machine Variables Mathematical Models of Three-Phase Induction Machnies in the Arbitrary, Stationary, Rotor, and Synchronous Reference Frames Power Converters and Control of Induction Machines Synchronous Machines Introduction Synchronous Reluctance Motors Permanent-Magnet Synchronous Machines Conventional Three-Phase Synchronous Machines: Dynamics in the Machine Variables and in the Rotor and Synchronous Reference Frames Stepper Motors Sensors Mechatronic Systems Introduction Mechatronic Systems with Permanent-Magnet DC Motors Analysis and Design of an Electric Drive with Experimental Verification Mechatronic Systems with DC Motors Mechatronic Systems with Induction Motors Mechatronic Systems with Permanent-Magnet Synchronous Motors Digital Control of Mechatronic Systems

Control Systems Theory with Engineering Applications

Preface Acknowledgments Introduction: Modeling, Identification, Optimization, and Control Mathematical Model Developments Modeling of Dynamic Systems using Matlab and SIMULINK Analysis and Control of Linear Dynamic Systems Analysis, Identification, and Control of Nonlinear Dynamic Systems References Index

MEMS and NEMS - systems, devices, and structures

Overview and Introduction New Trends in Engineering and Science: Micro- and Nanoscale Systems Introduction to Design of MEMS and NEMS Biological and Biosystems Analogies Overview of Nano- and Microelectromechanical Systems Applications of Micro- and Nanoelectromechanical Systems Micro- and Nanoelectromechanical Systems Synergetic Paradigms in MEMS MEMS and NEMS Architecture Fundamentals of MEMS Fabrication Introduction and Description of Basic Processes Microfabrication and Micromachining of ICs, Microstructures, and Microdevices Devising and Synthesis of MEMS AND NEMS MEMS Motion Microdevices Classifier and Synthesis Nanoelectromechanical Systems Modeling of Micro- and Nanoscale Electromechanical Systems, Devices, and Structures Introduction to Modeling, Analysis, and Simulation Electromagnetics and its Application for MEMS and NEMS Induction Micromachines Synchronous Microtransducers Microscale Permanent-Magnet Stepper Micromotors Piezotransducers Fundamentals of Modeling of Electromagnetic Radiating Energy Microdevices Classical Mechanics and its Application Thermoanalysis and Heat Equation Nanosystems, Quantum Mechanics, and Mathematical Models Atomic Structures and Quantum Mechanics Molecular and Nanostructure Dynamics Molecular Wires and Molecular Circuits Control of Microelectromechanical Systems Introduction to Microelectromechanical Systems Control Lyapunov Stability Theory Control of Microelectromechanical Systems Intelligent Control of MEMS Hamilton-Jacobi Theory and Quantum Mechanics Case Studies: Synthesis, Analysis, Fabrication, and Computer-Aided Design of MEMS Introduction Design and Fabrication Analysis of Translational Microtransducers Single-Phase Reluctance Micromotors: Modeling, Analysis, and Control Three-Phase Synchronous Reluctance Micromotors Microfabrication Magnetization Dynamics of Thin Films Microstructures and Microtransducers With Permanent Magnets: Micromirror Actuators Reluctance Electromagnetic Micromotors Micromachined Polycrystalline Silicon Carbide Micromotors Axial Electromagnetic Micromotors Synergetic Computer-Aided Design of MEMS Index Each chapter also includes a References section. Keywords: Nanoscience, Nanotechnology

Robust control of nonlinear continuous-time systems with parameter uncertainties and input bounds

New results and innovative procedures are presented to design nonlinear robust controllers for a class of nonlinear time-varying systems with uncertain parameters and control constraints. The straightforward techniques for designing the robust bounded controllers are developed by utilizing the theoretical foundations of the HamiltonJacobi theory and L yapunovs method. The major contribution is the development of feasible and computationally efficient algorithms to stabilize uncertain nonlinear systems. Various aspects of recent developments concerning robust control and nonlinear optimization are discussed and further researched. Necessary and sufficient conditions for optimality and robust stability are studied. By applying robust design, this paper allows one to solve practical problems in nonlinear robust control and optimization by using nonlinear models with parameter variations and input bounds. To overcome the gap between the theory and its application, two examples are thoroughly studied. Robust ...

Molecular Electronics, Circuits, and Processing Platforms

When microelectronic devices replaced vacuum tubes, it marked a revolution in electronics that opened the way to the computer age. We are on the verge of witnessing another equally profound shift. As molecular devices replace semiconductors, we will achieve new levels of performance, functionality and capability that will hugely impact electronics, as well as signal processing and computing. Molecular Electronics, Circuits, and Processing Platforms guides you confidently into this emerging field. Helping you to forge into the molecular frontier, this book examines the various concepts, methods and technologies used to approach and solve a wide variety of problems. The author works from new devices to systems and platforms. He also covers device-level physics, system-level design, analysis, and advanced fabrication technologies. Explore the latest and emerging molecular, biomolecular, and nanoscale processing platforms for building the next generation of circuits, memories and computations. By examining both solved and open issues, this book thoroughly develops the basic theory and shows you how to apply this knowledge toward new developments and practical hardware implementation. Dont fall behind. Let Molecular Electronics, Circuits, and Processing Platforms take you to the next level of electronics design and applications.

Identification of induction motor parameters

In this paper, a model-based mapping identification concept is used to identify the unknown parameters of induction motors using transient dynamics. The reported state-space identification scheme can be applied to a wide class of nonlinear multivariable continuous-time dynamic systems. To illustrate the analytical results and to demonstrate the practical capabilities, the unknown motor parameters are identified for a voltage-fed squirrel-cage induction motor, under the assumption that the state vector is available for measurement.

Electromechanical systems and devices

Introduction to Electromechanical Systems Analysis of Electromechanical Systems and Devices Introduction to Analysis and Modeling Energy Conversion and Force Production in Electromechanical Motion Devices Introduction to Electromagnetics Fundamentals of Electromagnetics Classical Mechanics and Its Application Newtonian Mechanics Lagrange Equations of Motion Hamilton Equations of Motion Application of Electromagnetics and Classical Mechanics to Electromechanical Systems Simulation of Systems in the MATLAB Environment Introduction to Power Electronics Operational Amplifiers Power Amplifiers and Power Converters Power Amplifier and Analog Controllers Switching Converter: Buck Converter Boost Converter Buck-Boost Converters Cuk Converters Flyback and Forward Converters Resonant and Switching Converters Direct-Current Electric Machines and Motion Devices Permanent-Magnet Direct-Current Electric Machines Radial Topology Permanent-Magnet Direct-Current Electric Machines Simulation and Experimental Studies of Permanent-Magnet Direct-Current Machines Permanent-Magnet Direct-Current Generator Driven by a Permanent-Magnet Direct-Current Motor Electromechanical Systems with Power Electronics Axial Topology Permanent-Magnet Direct-Current Electric Machines Fundamentals of Axial Topology Permanent-Magnet Machines Axial Topology Hard Drive Actuator Electromechanical Motion Devices: Synthesis and Classification Induction Machines Fundamentals, Analysis, and Control of Induction Motors Introduction Two-Phase Induction Motors in Machine Variables Lagrange Equations of Motion for Induction Machines Torque-Speed Characteristics and Control of Induction Motors Advanced Topics in Analysis of Induction Machines Three-Phase Induction Motors in the Machine Variables Dynamics and Analysis of Induction Motors Using the Quadrature and Direct Variables Arbitrary, Stationary, Rotor, and Synchronous Reference Frames Induction Motors in the Arbitrary Reference Frame Induction Motors in the Synchronous Reference Frame Simulation and Analysis of Induction Motors in the MATLAB Environment Power Converters Synchronous Machines Introduction to Synchronous Machines Radial Topology Synchronous Reluctance Motors Single-Phase Synchronous Reluctance Motors Three-Phase Synchronous Reluctance Motors Radial Topology Permanent-Magnet Synchronous Machines Two-Phase Permanent-Magnet Synchronous Motors and Stepper Motors Radial Topology Three-Phase Permanent-Magnet Synchronous Machines Mathematical Models of Permanent-Magnet Synchronous Machines in the Arbitrary, Rotor, and Synchronous Reference Frames Advanced Topics in Analysis of Permanent-Magnet Synchronous Machines Axial Topology Permanent-Magnet Synchronous Machines Conventional Three-Phase Synchronous Machines Introduction to Control of Electromechanical Systems and Proportional-Integral-Derivative Control Laws Electromechanical Systems Dynamics Equations of Motion: Electromechanical Systems Dynamics in the State-Space Form and Transfer Functions Analog Control of Electromechanical Systems Analog Proportional-Integral-Derivative Control Laws Control of an Electromechanical System with a Permanent-Magnet DC Motor Using Proportional- Integral-Derivative Control Law Digital Control of Electromechanical Systems Proportional-Integral-Derivative Digital Control Laws and Transfer Functions Digital Electromechanical Servosystem with a Permanent-Magnet DC Motor Advanced Control of Electromechanical Systems Hamilton-Jacobi Theory and Optimal Control of Electromechanical Systems Stabilization Problem for Linear Electromechanical Systems Tracking Control of Linear Electromechanical Systems State Transformation Method and Tracking Control Time-Optimal Control of Electromechanical Systems Sliding Mode Control Constrained Control of Nonlinear Electromechanical Systems Optimization of Systems Using Nonquadratic Performance Functionals Lyapunov Stability Theory in Analysis and Control of Electromechanical Systems Control of Linear Discrete-Time Electromechanical Systems Using the Hamilton-Jacobi Theory Linear Discrete-Time Systems Constrained Optimization of Discrete-Time Electromechanical Systems Tracking Control of Discrete-Time Systems Index

Logic Design of NanoICS

PREFACE ACKNOWLEDGEMENTS INTRODUCTION Progress From Micro- to Nanoelectronics Logic Design in Spatial Dimensions Towards Computer-Aided Design of NanoICs Methodology Example: Hypercube Structure of Hierarchical FPGA Summary Problems Further Reading References NANOTECHNOLOGIES Nanotechnologies Nanoelectronic Devices Digital Nanoscale Circuits: Gates vs. Arrays Molecular Electronics Scaling and Fabrication Summary Problems Further Reading References BASICS OF LOGIC DESIGN IN NANOSPACE Graphs Data Structures for Switching Functions Sum-of-Products Expressions Shannon Decision Trees and Diagrams Reed-Muller Expressions Decision Trees and Diagrams Arithmetic Expressions Decision Trees and Diagrams Summary Problems Further Reading References WORD-LEVEL DATA STRUCTURES Word-level Data Structures Word-level Arithmetic Expressions Word-level Sum-of-Products Expressions Word-level Reed-Muller Expressions Summary Problems Further Reading References NANOSPACE AND HYPERCUBE-LIKE DATA STRUCTURES Spatial Structures Hypercube Data Structure Assembling of Hypercubes N-Hypercube Definition Degree of Freedom and Rotation Coordinate Description N-Hypercube Design for n > 3 Dimensions Embedding a Binary Decision Tree in N-Hypercube Assembling Spatial Topological Measurements Summary Problems Further Reading References NANODIMENSIONAL MULTILEVEL CIRCUITS Graph-Based Models in Logic Design of Multilevel Networks Library of N-Hypercubes for Elementary Logic Functions Hybrid Design Paradigm: N-Hypercube and DAG Manipulation of N-Hypercubes Numerical Evaluation of 3-D Structures Summary Further Reading References LINEAR WORD-LEVEL MODELS OF MULTILEVEL CIRCUITS Linear Expressions Linear Arithmetic Expressions Linear Arithmetic Expressions of Elementary Functions Linear Decision Diagrams Representation of a Circuit Level by Linear Expression Linear Decision Diagrams for Circuit Representation Technique for Manipulating the Coefficients Linear Word-level Sum-of-Products Expressions Linear Word-level Reed-Muller Expressions Summary Problems Further Reading References EVENT-DRIVEN ANALYSIS OF HYPERCUBE-LIKE TOPOLOGY Formal Definition of Change in a Binary System Computing Boolean Differences Models of Logic Networks in Terms of Change Matrix Models of Change Models of Directed Changes in Algebraic Form Local Computation Via Partial Boolean Difference Generating Reed-Muller Expressions by Logic Taylor Series Arithmetic Analogs of Boolean Differences and Logic Taylor Expansion Summary Problems Further Reading References NANODIMENSIONAL MULTIVALUED CIRCUITS Introduction to Multivalued Logic Spectral Technique Multivalued Decision Trees and Decision Diagrams Concept of Change in Multivalued Circuits Generation of Reed-Muller Expressions Linear Word-level Expressions of Multivalued Functions Linear Nonarithmetic Word-level Representation of Multivalued Functions Summary Problems Further Reading References PARALLEL COMPUTATION IN NANOSPACE Data Structures and Massive Parallel Computing Arrays Linear Systolic Arrays for Computing Logic Functions Computing Reed-Muller Expressions Computing Boolean Differences Computing Arithmetic Expressions Computing Walsh Expressions Tree-Based Network for Manipulating a Switching Function Hypercube Arrays Summary Problems Further Reading References FAULT-TOLERANT COMPUTATION Definitions Probabilistic Behavior of Nanodevices Neural Networks Stochastic Computing Von Neumanns Model on Reliable Computation with Unreliable Components Faulty Hypercube-Like Computing Structures Summary Further Reading References INFORMATION MEASURES IN NANODIMENSIONS Information-Theoretical Measures at Various Levels of Design in Nanodimensions Information-Theoretical Measures in Logic Design Information Measures of Elementary Switching Functions Information-Theoretical Measures in Decision Trees Information Measures in the N-Hypercube Information-Theoretical Measures in Multivalued Functions Summary Problems Further Reading References INDEX

Clean high-energy density renewable power generation systems with soft-switching sliding mode control laws

This paper reports the design, analysis, evaluation and characterization of closed-loop clean renewable power generation systems. For the aforementioned multi-input/multi-output systems, we design proportional-integral and soft-switching sliding mode control laws to guarantee: (1) Efficient mechanical-to-electrical, electrical-to-electrical and electrical-to-chemical energy conversions; (2) Enabling windor hydro-energy harvesting capabilities; (3) Optimal dynamics, robustness and stability. The prototypes of portable high-energy-density power systems were tested, characterized and evaluated. We advanced energy sources, enabled electric machinery, and improved power electronics solutions. Linear and nonlinear control algorithms were designed, implemented, and verified. The developed closed-loop clean power generation systems were tested in enhanced operating envelopes. These scalable systems can be used as mini-scale, light- and medium-duty auxiliary, portable and self-sustained power systems in various applications, such as, aerospace, automotive, biotechnology, biomedical, communication, marine, robotics, etc.

Nano- and microoptoelectromechanical systems and nanoscale active optics

Significant progress has been made in nano- and microoptoelectromechanical systems (NOEMS and MOEMS) in last years. However, formidable challenges remain and novel design concepts are sought. The technologies has been developed to fabricate MOEMS that integrate nanostructures and nanodevices including mirrors, lenses, magnets, antennas, actuators, etc. We study MOEMS that integrate vertical cavity surface emitting laser (VCSEL), active optoelectromagnetic-active nanostructures (Bragg cells and optoelectromagnetic lenses), radiating energy nanodevices (antennas) and controlling/processing nanoscale integrated circuits (nanoICs). Ideally, this MOEMS should be designed and fabricated utilizing the Microsystem-on-Chip paradigm. This paper focuses on the fundamental problems in synthesis, system-level integration, high-fidelity modeling, heterogeneous simulation, data-intensive analysis and optimization. The results reported significantly contribute to newly emerging microoptosystems that can be used in wireless communication, laser scanners, optical interconnects, etc.