Sundarapandian Vaidyanathan – författare

Mathematical Techniques of Fractional Order Systems illustrates advances in linear and nonlinear fractional-order systems relating to many interdisciplinary applications, including biomedical, control, circuits, electromagnetics and security. The book covers the mathematical background and literature survey of fractional-order calculus and generalized fractional-order circuit theorems from different perspectives in design, analysis and realizations, nonlinear fractional-order circuits and systems, the fractional-order memristive circuits and systems in design, analysis, emulators, simulation and experimental results. It is primarily meant for researchers from academia and industry, and for those working in areas such as control engineering, electrical engineering, computer science and information technology.

This book is ideal for researchers working in the area of both continuous-time and discrete-time dynamics and chaotic systems.

Fractional Order Systems: Optimization, Control, Circuit Realizations and Applications consists of 21 contributed chapters by subject experts. Chapters offer practical solutions and novel methods for recent research problems in the multidisciplinary applications of fractional order systems, such as FPGA, circuits, memristors, control algorithms, photovoltaic systems, robot manipulators, oscillators, etc. This book is ideal for researchers working in the modeling and applications of both continuous-time and discrete-time dynamics and chaotic systems. Researchers from academia and industry who are working in research areas such as control engineering, electrical engineering, mechanical engineering, computer science, and information technology will find the book most informative.

Backstepping Control of Nonlinear Dynamical Systems addresses both the fundamentals of backstepping control and advances in the field. The latest techniques explored include 'active backstepping control', 'adaptive backstepping control', 'fuzzy backstepping control' and 'adaptive fuzzy backstepping control'. The reference book provides numerous simulations using MATLAB and circuit design. These illustrate the main results of theory and applications of backstepping control of nonlinear control systems. Backstepping control encompasses varied aspects of mechanical engineering and has many different applications within the field. For example, the book covers aspects related to robot manipulators, aircraft flight control systems, power systems, mechanical systems, biological systems and chaotic systems.

This multifaceted view of subject areas means that this useful reference resource will be ideal for a large cross section of the mechanical engineering community.

The development of computational intelligence (CI) systems was inspired by observable and imitable aspects of intelligent activity of human being and nature. The essence of the systems based on computational intelligence is to process and interpret data of various nature so that that CI is strictly connected with the increase of available data as well as capabilities of their processing, mutually supportive factors. Developed theories of computational intelligence were quickly applied in many fields of engineering, data analysis, forecasting, biomedicine and others. They are used in images and sounds processing and identifying, signals processing, multidimensional data visualization, steering of objects, analysis of lexicographic data, requesting systems in banking, diagnostic systems, expert systems and many other practical implementations.

This book consists of 16 contributed chapters by subject experts who are specialized in the various topics addressed in this book. The special chapters have been brought out in the broad areas of Control Systems, Power Electronics, Computer Science, Information Technology, modeling and engineering applications. Special importance was given to chapters offering practical solutions and novel methods for the recent research problems in the main areas of this book, viz. Control Systems, Modeling, Computer Science, IT and engineering applications.

This book will serve as a reference book for graduate students and researchers with a basic knowledge of control theory, computer science and soft-computing techniques. The resulting design procedures are emphasized using Matlab/Simulink software.

The development of computational intelligence (CI) systems was inspired by observable and imitable aspects of intelligent activity of human being and nature. The essence of the systems based on computational intelligence is to process and interpret data of various nature so that that CI is strictly connected with the increase of available data as well as capabilities of their processing, mutually supportive factors. Developed theories of computational intelligence were quickly applied in many fields of engineering, data analysis, forecasting, biomedicine and others. They are used in images and sounds processing and identifying, signals processing, multidimensional data visualization, steering of objects, analysis of lexicographic data, requesting systems in banking, diagnostic systems, expert systems and many other practical implementations.

This book consists of 15 contributed chapters by subject experts who are specialized in the various topics addressed in this book. The special chapters have been brought out in the broad areas of Control Systems, Power Electronics, Computer Science, Information Technology, modeling and engineering applications. Special importance was given to chapters offering practical solutions and novel methods for the recent research problems in the main areas of this book, viz. Control Systems, Modeling, Computer Science, IT and engineering applications.

This book will serve as a reference book for graduate students and researchers with a basic knowledge of control theory, computer science and soft-computing techniques. The resulting design procedures are emphasized using Matlab/Simulink software.

The book reports on the latest advances and applications of nonlinearcontrol systems.  It consists of 30contributed chapters by subject experts who are specialized in the varioustopics addressed in this book. The special chapters have been brought out inthe broad areas of nonlinear control systems such  as robotics, nonlinear circuits, powersystems, memristors, underwater vehicles, chemical processes, observer design,output regulation, backstepping control, sliding mode control, time-delayedcontrol, variables structure control, robust adaptive control, fuzzy logiccontrol, chaos, hyperchaos, jerk systems, hyperjerk systems, chaos control,chaos synchronization, etc. Special importance was given to chapters offeringpractical solutions, modeling and novel controlmethods for the recent researchproblems in nonlinear control systems.

This book will serve as a reference book for graduate studentsand researchers with a basic knowledge of electrical and control systemsengineering. The resulting design procedures on the nonlinear control systemsare emphasized using MATLAB software.

This book reports on the latest advances andapplications of chaotic systems. Itconsists of 25 contributed chapters by experts who are specialized in thevarious topics addressed in this book. The chapters cover a broad range oftopics of chaotic systems such as chaos, hyperchaos, jerk systems, hyperjerksystems, conservative and dissipative systems, circulant chaotic systems,multi-scroll chaotic systems, finance chaotic system, highly chaotic systems,chaos control, chaos synchronization, circuit realization and applications ofchaos theory in secure communications, mobile robot, memristors, cellularneural networks, etc. Special importance was given to chapters offeringpractical solutions, modeling and novel control methods for the recent researchproblems in chaos theory.

This book will serve as a reference book for graduatestudents and researchers with a basic knowledge of chaos theory and controlsystems. The resulting design procedures on the chaotic systems are emphasizedusing MATLAB software.

The book reportson the latest advances in and applications of chaos theory and intelligentcontrol. Written by eminent scientists and active researchers and using aclear, matter-of-fact style, it covers advanced theories, methods, andapplications in a variety of research areas, and explains key concepts inmodeling, analysis, and control of chaotic and hyperchaotic systems. Topicsinclude fractional chaotic systems, chaos control, chaos synchronization,memristors, jerk circuits, chaotic systems with hidden attractors, mechanicaland biological chaos, and circuit realization of chaotic systems. The bookfurther covers fuzzy logic controllers, evolutionary algorithms, swarmintelligence, and petri nets among other topics. Not only does it provide thereaders with chaos fundamentals and intelligent control-based algorithms; italso discusses key applications of chaos as well as multidisciplinary solutionsdeveloped via intelligent control. The book is a timely and comprehensivereference guide for graduate students, researchers, and practitioners in theareas of chaos theory and intelligent control.

Gathering 20 chapters contributed by respected experts, this book reports on the latest advances in and applications of sliding mode control in science and engineering. The respective chapters address applications of sliding mode control in the broad areas of chaos theory, robotics, electrical engineering, physics, chemical engineering, memristors, mechanical engineering, environmental engineering, finance, and biology. Special emphasis has been given to papers that offer practical solutions, and which examine design and modeling involving new types of sliding mode control such as higher order sliding mode control, terminal sliding mode control, super-twisting sliding mode control, and integral sliding mode control.