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Iterative Learning Control for Nonlinear Time-Delay System

Autor Jianming Wei, Hong Wang, Fang Liu
en Limba Engleză Paperback – 3 ian 2024
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.
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Specificații

ISBN-13: 9789811963193
ISBN-10: 9811963193
Pagini: 178
Ilustrații: XI, 178 p. 93 illus., 74 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore

Cuprins

Introduction.- Adaptive Iterative Learning Control Design for A Class of Uncertain Time-varying Parameterized Nonlinear.- Adaptive Iterative Learning Control Design for Uncertain Time-varying Non-parameterized Nonlinear.- Adaptive Iterative Learning Control Design for Uncertain Time-varying Nonlinear Delay systems.- Observer-based Adaptive Iterative Learning Control Design for Uncertain Time-varying Nonlinear Delay Systems.- Observer-based Adaptive Iterative Learning Control Design for Robotic Manipulator.- Summary and Further Research Outlook.


Notă biografică

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.


Textul de pe ultima copertă

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.

Caracteristici

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.