Overview
- The first book systematically introduces adaptive iterative learning control methods for time-delay nonlinear systems.
- Offers a universal adaptive learning control scheme for a wide classes of nonlinear time-delay systems.
- Provides both theoretical stability analysis and simulation examples for different cases.
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About this book
This book focuses on adaptive iterative learning control problem for nonlinear time-delay systems.
A universal adaptive learning control scheme is provided for a wide classes of nonlinear systems with time-varying delay and input nonlinearity. Proceeding from easy to difficult, this book deals with the adaptive iterative learning control problems for parameterized nonlinear time-delay systems, non-parameterized nonlinear time-delay systems, nonlinear time-delay systems with unknown control direction and nonlinear time-delay systems with un-measurable states. The proposed control schemes can be extended to the adaptive learning control problem for wider classes of nonlinear systems revelent to abovementioned nonlinear systems.
The topics presented in this book are research hot spots of iterative learning control. This book will be a valuable reference for researchers and students working or studying in this area.
A universal adaptive learning control scheme is provided for a wide classes of nonlinear systems with time-varying delay and input nonlinearity. Proceeding from easy to difficult, this book deals with the adaptive iterative learning control problems for parameterized nonlinear time-delay systems, non-parameterized nonlinear time-delay systems, nonlinear time-delay systems with unknown control direction and nonlinear time-delay systems with un-measurable states. The proposed control schemes can be extended to the adaptive learning control problem for wider classes of nonlinear systems revelent to abovementioned nonlinear systems.
The topics presented in this book are research hot spots of iterative learning control. This book will be a valuable reference for researchers and students working or studying in this area.
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Keywords
Table of contents (6 chapters)
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Front Matter
Authors and Affiliations
About the authors
Jianming Wei received his M.S. degree and Ph.D. degree in Control Science and Engineering from Naval Aeronautical Engineering Institute, Yantai, China, in 2012 and 2015, respectively. He is currently a Lecturer at Naval University of Engineering. His research mainly focuses on iterative learning control, nonlinear control, missile guidance and control system.
Hong Wang received her M.S. degree in Control Science and Engineering from Changchun University of Technology, Changchun, China, in 2015. She is currently a Lecturer at Naval Aviation University. Her research mainly focuses on control theory and applications.
Fang Liu received the M.S. degree in 2005 from Equipment Command Technology Institute and the Ph.D. degree from Naval University of Engineering in 2011. She is currently an Associate Professor at Naval University of Engineering. Her research interests include missile launching control and effectiveness evaluation ofmissile weapon system.
Hong Wang received her M.S. degree in Control Science and Engineering from Changchun University of Technology, Changchun, China, in 2015. She is currently a Lecturer at Naval Aviation University. Her research mainly focuses on control theory and applications.
Fang Liu received the M.S. degree in 2005 from Equipment Command Technology Institute and the Ph.D. degree from Naval University of Engineering in 2011. She is currently an Associate Professor at Naval University of Engineering. Her research interests include missile launching control and effectiveness evaluation ofmissile weapon system.
Bibliographic Information
Book Title: Iterative Learning Control for Nonlinear Time-Delay System
Authors: Jianming Wei, Hong Wang, Fang Liu
DOI: https://doi.org/10.1007/978-981-19-6317-9
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: National Defense Industry Press 2022
Hardcover ISBN: 978-981-19-6316-2Published: 02 January 2023
Softcover ISBN: 978-981-19-6319-3Published: 03 January 2024
eBook ISBN: 978-981-19-6317-9Published: 01 January 2023
Edition Number: 1
Number of Pages: XI, 178
Number of Illustrations: 19 b/w illustrations, 74 illustrations in colour
Topics: Control and Systems Theory, Systems Theory, Control, Complex Systems