Filtered Repetitive Control with Nonlinear Systems /

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Bibliographic Details
Author / Creator:	Quan, Quan.
Imprint:	Singapore : Springer, 2020.
Description:	1 online resource (xvii, 217 pages) : illustrations (some color)
Language:	English
Subject:	Nonlinear control theory. Nonlinear control theory.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12602683

Hidden Bibliographic Details
Other authors / contributors:	Cai, Kai-Yuan, 1965-
ISBN:	9789811514548 9811514542 9789811514531 9811514534
Notes:	Includes bibliographical references.
Summary:	Though there have been significant advances in the theory and applications of linear time-invariant systems, developments regarding repetitive control have been sporadic. At the same time, there is a dearth of literature on repetitive control (RC) for nonlinear systems. Addressing that gap, this book discusses a range of basic methods for solving RC problems in nonlinear systems, including two commonly used methods and three original ones. Providing valuable tools for researchers working on the development of repetitive control, these new and fundamental methods are one of the major features of the book, which will benefit researchers, engineers, and graduate students in e.g. the field of control theory.
Other form:	Print version: Quan, Quan. Filtered Repetitive Control with Nonlinear Systems. Singapore : Springer, 2020 9811514534 9789811514531
Standard no.:	10.1007/978-981-15-1

Table of Contents:

Introduction
Preliminaries
Repetitive Control for Linear Systems
Robustness Analysis of Repetitive Control Systems
Repetitive Control for Nonlinear Systems: Linearization Methods
Repetitive Control for Nonlinear Systems: An Adaptive Control Like Method
Continuous Time Repetitive Control for Nonlinear Systems: An Additive State Decomposition Method
Discrete Time Repetitive Control for Nonlinear Systems: An Additive State Decomposition Method
Repetitive Control for Nonlinear Systems: An Actuator Focused Design Method
Repetitive Control for Nonlinear Systems: A Contraction Mapping Method.

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