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MAB
Advanced Discrete-Time Control: Designs and Applications
Kategorie
Beschreibung
036a
XB-SG‡XA-DE‡XA-GB‡XA-NL‡XD-US
037b
eng
087q
978-981-287-477-1
100
Abidi, Khalid
104b
Xu, Jian-Xin
331
Advanced Discrete-Time Control
335
Designs and Applications
410
Singapore [u.a.]
412
Springer
425
2015
425a
2015
433
Online-Ressource (XII, 224 p. 126 illus., 122 illus. in color, online resource)
451
Studies in Systems, Decision and Control ; 23
517
IntroductionDiscrete-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.
527
Druckausg.ISBN: 978-981-287-477-1
540a
ISBN 978-981-287-478-8
700
|TJFM
700
|TEC004000
700
|*93-02
700
|93C55
700
|93C05
700
|93C10
700
|93B12
700
|93C40
700
|93C42
700b
|629.8312
700b
|621.3822
700b
|629.8
700c
|TJ212-225
750
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.
753
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.
012
429161980
081
Abidi, Khalid: Advanced Discrete-Time Control
100
Springer E-Book
125a
Elektronischer Volltext - Campuslizenz
655e
$uhttp://dx.doi.org/10.1007/978-981-287-478-8
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