Advanced Discrete-Time Control: Designs and Applications

ISBN-13: 9789811012754 / Angielski / Miękka / 2016 / 224 str.

Khalid Abidi; Jianxin Xu

Opis

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.

Recenzje

"The monograph presents six different control approaches for linear and nonlinear discrete-time systems. ... The monograph contains some original results of the authors. It is dedicated to scientists and Ph.D students in the field of automatic control systems." (Tadeusz Kaczorek, zbMATH 1314.93003, 2015)

Spis treści

Introduction.- Discrete-Time Sliding Mode Control.- Discrete-Time Periodic Adaptive Control.- Discrete-Time Adaptive Posicast Control.- Discrete-Time Iterative Learning Control.- Discrete-Time Fuzzy PID Control.- Benchmark Precision Control of a Piezo-Motor Driven Linear Stage.- Advanced Control for Practical Engineering Applications.

O autorze

Professor Jian-Xin Xu received the Bachelor degree from Zhejiang University, China in 1982. He attended the University of Tokyo, Japan, where he received Master's and PhD degrees in 1986 and 1989 respectively. All degrees are in Electrical Engineering. He worked for one year in the Hitachi research Laboratory, Japan; for more than one year in Ohio State University, U.S.A. as a Visiting Scholar; and for 6 months in Yale University as a Visiting Research Fellow. In 1991 Professor Xu joined the National University of Singapore and is currently a professor at Department of Electrical and Computer Engineering. His research interests lie in the fields of intelligent and robust control and applications to motion control, mechatronics, and robotics. He is a Fellow of IEEE.

Up to now he produced more than 500 peer-reviewed journal and conference papers, 2 monographs and 3 edited books. He has been supervising/co-supervising 29 PhD, 20 Master students, and 15 research staff including postdoctoral fellows and research fellows. He has completed 20 funded research projects and currently he work on AUV biomimetic locomotion and control.

Dr Khalid Abidi received his BSc. degree in Mechanical Engineering from the Middle East Technical University, Ankara, Turkey in 2002 and the MSc. degree in Electrical Engineering and Computer Science from Sabanci University, Istanbul, Turkey in 2004. He obtained his PhD degree in Electrical and Computer Engineering, specializing in the area o

f Control Engineering, from the National University of Singapore in 2009. Dr Abidi is currently a lecturer of Electrical Power Engineering at Newcastle University based in Singapore. Prior to joining Newcastle University Dr Abidi worked as an Assistant Professor of Mechatronics Engineering at Bahcesehir University, Istanbul, Turkey from September 2009 until June 2014. His research interests include: Theory and modelling of dynamical systems, Discrete-Time systems, Time-delay systems, Learning Control, Robust Control, Applied Nonlinear Control, Robotics and Mechatronic Systems.

Blurb

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.