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024 7 $a10.1007/978-981-287-478-8
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100   $a20150325d2015      u|             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aAdvanced Discrete-Time Control$b[electronic resource] $eDesigns and Applications /$fby Khalid Abidi, Jian-Xin Xu
205   $a1st ed. 2015.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2015.
215   $a1 online resource (232 p.)
225 1 $aStudies in Systems, Decision and Control,$x2198-4182 ;$v23
300   $aDescription based upon print version of record.
311   $a981-287-477-1 
320   $aIncludes bibliographical references.
327   $aIntroduction -- 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.
330   $aThis book covers a wide spectrum of systems such as linear and nonlinear multivariable systems as well as control problems such as disturbance, uncertainty and time-delays. The purpose of this book is to provide researchers and practitioners a manual for the design and application of advanced discrete-time controllers.  The book presents six different control approaches depending on the type of system and control problem. The first and second approaches are based on Sliding Mode control (SMC) theory and are intended for linear systems with exogenous disturbances. The third and fourth approaches are based on adaptive control theory and are aimed at linear/nonlinear systems with periodically varying parametric uncertainty or systems with input delay. The fifth approach is based on Iterative learning control (ILC) theory and is aimed at uncertain linear/nonlinear systems with repeatable tasks and the final approach is based on fuzzy logic control (FLC) and is intended for highly uncertain systems with heuristic control knowledge. Detailed numerical examples are provided in each chapter to illustrate the design procedure for each control method.  A number of practical control applications are also presented to show the problem solving process and effectiveness with the advanced discrete-time control approaches introduced in this book.
410  0$aStudies in Systems, Decision and Control,$x2198-4182 ;$v23
606   $aControl engineering
606   $aSystem theory
606   $aArtificial intelligence
606   $aApplied mathematics
606   $aEngineering mathematics
606   $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010
606   $aSystems Theory, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/M13070
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aMathematical and Computational Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11006
615  0$aControl engineering.
615  0$aSystem theory.
615  0$aArtificial intelligence.
615  0$aApplied mathematics.
615  0$aEngineering mathematics.
615 14$aControl and Systems Theory.
615 24$aSystems Theory, Control.
615 24$aArtificial Intelligence.
615 24$aMathematical and Computational Engineering.
676   $a003.83
700   $aAbidi$b Khalid$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721010
702   $aXu$b Jian-Xin$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910299835103321
996   $aAdvanced Discrete-Time Control$92521960
997   $aUNINA