A timely guide using iterative learning control (ILC) as a solution for multi-agent systems (MAS) challenges, showcasing recent advances and industrially relevant applications <ul>
<li>Explores the synergy between the important topics of iterative learning control (ILC) and multi-agent systems (MAS)</li> <li>Concisely summarizes recent advances and significant applications in ILC methods for power grids, sensor networks and control processes</li> <li>Covers basic theory, rigorous mathematics as well as engineering practice</li> </ul>

Iterative Learning Control for Multi-agent Systems Coordination (IEEE Press)

Computers & Technology

Xu, Jian-Xin

Yang, Shiping

Li, Xuefang

Shen, Dong

Computer Science

Wiley-IEEE Press

Real-time Iterative Learning Control demonstrates how the latest advances in iterative learning control (ILC) can be applied to a number of plants widely encountered in practice. The book gives a systematic introduction to real-time ILC design and source of illustrative case studies for ILC problem solving; the fundamental concepts, schematics, configurations and generic guidelines for ILC design and implementation are enhanced by a well-selected group of representative, simple and easy-to-learn example applications. Key issues in ILC design and implementation in linear and nonlinear plants pervading mechatronics and batch processes are addressed, in particular: ILC design in the continuous- and discrete-time domains; design in the frequency and time domains; design with problem-specific performance objectives including robustness and optimality; design in a modular approach by integration with other control techniques; and design by means of classical tools based on Bode plots and state space.

Real-time Iterative Learning Control: Design and Applications (Advances in Industrial Control)

Lee, Tong Heng

Panda, Sanjib K.

Springer

This book demonstrates how the latest advances in iterative learning control (ILC) can be applied to a number of plants widely encountered in practice. The book gives a systematic introduction to real-time ILC design and is a source of illustrative case studies.

Science & Math

Chemistry

This monograph summarizes the recent achievements made in the field of iterative learning control. The book is self-contained in theoretical analysis and can be used as a reference or textbook for a graduate level course as well as for self-study. It opens a new avenue towards a new paradigm in deterministic learning control theory accompanied by detailed examples.

Linear and Nonlinear Iterative Learning Control (Lecture Notes in Control and Information Sciences, 291)

Tan, Ying

Reference

This book covers a wide spectrum of systems such as linear and nonlinear multivariable systems as well as control problems such as disturbance, uncertainty and time-delays. The purpose of this book is to provide researchers and practitioners a manual for the design and application of advanced discrete-time controllers. The book presents six different control approaches depending on the type of system and control problem. The first and second approaches are based on Sliding Mode control (SMC) theory and are intended for linear systems with exogenous disturbances. The third and fourth approaches are based on adaptive control theory and are aimed at linear/nonlinear systems with periodically varying parametric uncertainty or systems with input delay. The fifth approach is based on Iterative learning control (ILC) theory and is aimed at uncertain linear/nonlinear systems with repeatable tasks and the final approach is based on fuzzy logic control (FLC) and is intended for highly uncertain systems with heuristic control knowledge. Detailed numerical examples are provided in each chapter to illustrate the design procedure for each control method. A number of practical control applications are also presented to show the problem solving process and effectiveness with the advanced discrete-time control approaches introduced in this book.

Advanced Discrete-Time Control: Designs and Applications (Studies in Systems, Decision and Control, 23)

Abidi, Khalid

This book covers a wide spectrum of systems such as linear and nonlinear multivariable systems as well as control problems such as disturbance, uncertainty and time-delays. The purpose of this book is to provide researchers and practitioners a manual for the design and application of advanced discrete-time controllers. The book presents six different control approaches depending on the type of system and control problem. The first and second approaches are based on Sliding Mode control (SMC) theory and are intended for linear systems with exogenous disturbances. The third and fourth approaches are based on adaptive control theory and are aimed at linear/nonlinear systems with periodically varying parametric uncertainty or systems with input delay. The fifth approach is based on Iterative learning control (ILC) theory and is aimed at uncertain linear/nonlinear systems with repeatable tasks and the final approach is based on fuzzy logic control (FLC) and is intended for highly uncertain systems with heuristic control knowledge. Detailed numerical examples are provided in each chapter to illustrate the design procedure for each control method. A number of practical control applications are also presented to show the problem solving process and effectiveness with the advanced discrete-time control approaches introduced in this book.

See the best price to sell, buy, or rent books by Xu, Jian-Xin. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Xu, Jian-Xin

See the best price to sell, buy, or rent books by Xu, Jian-Xin. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Iterative Learning Control for Multi-agent Systems Coordination (IEEE Press)

Real-time Iterative Learning Control: Design and Applications (Advances in Industrial Control)

Real-time Iterative Learning Control: Design and Applications (Advances in Industrial Control)

Linear and Nonlinear Iterative Learning Control (Lecture Notes in Control and Information Sciences, 291)

Advanced Discrete-Time Control: Designs and Applications (Studies in Systems, Decision and Control, 23)

Advanced Discrete-Time Control: Designs and Applications (Studies in Systems, Decision and Control, 23)