Record ID | marc_columbia/Columbia-extract-20221130-030.mrc:101916021:7042 |
Source | marc_columbia |
Download Link | /show-records/marc_columbia/Columbia-extract-20221130-030.mrc:101916021:7042?format=raw |
LEADER: 07042cam a2200889 i 4500
001 14742640
005 20220423234258.0
006 m o d
007 cr |||||||||||
008 180521s2018 flua ob 001 0 eng
010 $a 2020692131
035 $a(OCoLC)on1037058233
035 $a(NNC)14742640
040 $aDLC$beng$erda$cDLC$dYDX$dEBLCP$dNLE$dN$T$dMERER$dCNCGM$dUKMGB$dTYFRS$dUKAHL$dCRCPR$dOCLCO$dK6U$dOCLCO
016 7 $a019047554$2Uk
019 $a1053864723$a1053888031
020 $a9781315147185$q(ebook)
020 $a1315147181
020 $a9781351377423$q(ebook)
020 $a1351377426
020 $z9781138550209$qhardback : acid-free paper
020 $a9781351377430$q(e-book ;$qPDF)
020 $a1351377434
020 $a9781351377416$q(electronic bk. ;$qMobipocket)
020 $a1351377418$q(electronic bk. ;$qMobipocket)
020 $z1138550205
024 7 $a10.1201/9781315147185$2doi
035 $a(OCoLC)1037058233$z(OCoLC)1053864723$z(OCoLC)1053888031
037 $a9781351377423$bIngram Content Group
042 $apcc
050 10 $aTJ213
072 7 $aTEC007000$2bisacsh
072 7 $aTEC008000$2bisacsh
072 7 $aTEC$x007000$2bisacsh
072 7 $aTEC$x008000$2bisacsh
072 7 $aTJF$2bicssc
082 00 $a629.8/9563201183$223
049 $aZCUA
100 1 $aSanchez, Edgar N.,$eauthor.
245 10 $aDiscrete-time recurrent neural control :$banalysis and applications /$cEdgar N. Sánchez.
264 1 $aBoca Raton, FL :$bCRC Press, Taylor & Francis Group,$c[2019]
300 $a1 online resource :$billustrations.
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aAutomation and control engineering
500 $a"A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc."
520 $aThe book presents recent advances in the theory of neural control for discrete-time nonlinear systems with multiple inputs and multiple outputs. The results that appear in each chapter include rigorous mathematical analyses, based on the Lyapunov approach, to establish its properties; in addition, for each chapter, simulation results are included to verify the successful performance of the corresponding proposed schemes. It provides solutions for the output trajectory tracking problem of unknown nonlinear systems based on sliding modes and inverse optimal control scheme--$cProvided by publisher.
504 $aIncludes bibliographical references and index.
588 $aDescription based on online resource; title from PDF title page (Site, viewed 09/11/2020).
505 0 $aCover; Half Title; Title Page; Copyright Page; Dedication; Table of Contents; Preface; Acknowledgments; Authors; SECTION I: Analyses; Chapter 1: Introduction; 1.1 Preliminaries; 1.2 Motivation; 1.3 Objectives; 1.4 Book Structure; 1.5 Notation; 1.6 Acronyms; Chapter 2: Mathematical Preliminaries; 2.1 Optimal Control; 2.2 Lyapunov Stability; 2.3: Robust Stability Analysis; 2.3.1 Optimal Control for Disturbed Systems; 2.4 Passivity; 2.5 Discrete-time High Order Neural Networks; 2.6 The EKF Training Algorithm; 2.7 Separation Principle for Discrete-time Nonlinear Systems.
505 8 $aChapter 3: Neural Block Control3.1 Identification; 3.2 Illustrative Example; 3.3 Neural Block Controller Design; 3.4 Applications; 3.4.1 Neural Network Identification; 3.4.2 Neural Block Controller Design; 3.4.3 Reduced Order Nonlinear Observer; 3.4.4 Simulation Results; 3.5 Conclusions; Chapter 4: Neural Optimal Control; 4.1 Inverse Optimal Control via CLF; 4.1.1 Example; 4.1.2 Inverse Optimal Control for Linear Systems; 4.2 Robust Inverse Optimal Control; 4.3 Trajectory Tracking Inverse Optimal Control; 4.3.1 Application to the Boost Converter; 4.3.1.1 Boost Converter Model.
505 8 $a4.3.1.2 Control Synthesis4.3.1.3 Simulation Results; 4.4 CLF-based Inverse Optimal Control for a Class of Nonlinear Positive Systems; 4.5 Speed-gradient for the Inverse Optimal Control; 4.5.1 Speed-gradient Algorithm; 4.5.2 Summary of the Proposed SG Algorithm to Calculate Parameter pk; 4.5.3 SG Inverse Optimal Control; 4.5.3.1 Example; 4.5.4 Application to the Inverted Pendulum on a Cart; 4.5.4.1 Simulation Results; 4.6 Speed-gradient Algorithm for Trajectory Tracking; 4.6.1 Example; 4.7 Trajectory Tracking for Systems in Block-control Form; 4.7.1 Example; 4.8 Neural Inverse Optimal Control.
505 8 $a4.8.1 Stabilization4.8.1.1 Example; 4.8.2 Trajectory Tracking; 4.8.2.1 Application to a Synchronous Generator; 4.8.2.2 Comparison; 4.9 Block-control Form: A Nonlinear Systems Particular Class; 4.9.1 Block Transformation; 4.9.2 Block Inverse Optimal Control; 4.10 Conclusions; SECTION II: Real-Time Applications; Chapter 5: Induction Motors; 5.1 Neural Identifier; 5.2 Discrete-time Super-twisting Observer; 5.3 Neural Sliding Modes Block Control; 5.4 Neural Inverse Optimal Control; 5.5 Implementation; 5.6 Prototype; 5.6.1 RCP System; 5.6.2 Power Electronics; 5.6.3 Signal Conditioning for ADC.
505 8 $a5.6.4 Real-time Controller Implementation5.6.4.1 Induction Motor Inputs and Outputs; 5.6.4.2 Flux Observer; 5.6.4.3 Neural Identifier; 5.6.4.4 Serial Communication Interface; 5.6.5 Neural Sliding Mode Real-time Results; 5.6.6 Neural Inverse Optimal Control Real-time Results; 5.7 Conclusions; Chapter 6: Doubly Fed Induction Generator; 6.1 Neural Identifiers; 6.1.1 DFIG Neural Identifier; 6.1.2 DC Link Neural Identifier; 6.2 Neural Sliding Mode Block Control; 6.2.1 DFIG Controller; 6.2.1.1 Simulation Results; 6.2.2 DC Link Controller; 6.2.2.1 Simulation Results.
650 0 $aAutomatic control$xData processing.
650 0 $aDiscrete-time systems.
650 0 $aNeural networks (Computer science)
650 0 $aNonlinear control theory.
650 2 $aNeural Networks, Computer
650 6 $aCommande automatique$xInformatique.
650 6 $aSystèmes échantillonnés.
650 6 $aRéseaux neuronaux (Informatique)
650 6 $aCommande non linéaire.
650 7 $aTECHNOLOGY & ENGINEERING$xEngineering (General)$2bisacsh
650 7 $aTECHNOLOGY$xElectricity.$2bisacsh
650 7 $aTECHNOLOGY$xElectronics$xGeneral.$2bisacsh
650 7 $aAutomatic control$xData processing.$2fast$0(OCoLC)fst00822705
650 7 $aDiscrete-time systems.$2fast$0(OCoLC)fst00894973
650 7 $aNeural networks (Computer science)$2fast$0(OCoLC)fst01036260
650 7 $aNonlinear control theory.$2fast$0(OCoLC)fst01038787
655 0 $aElectronic books.
655 4 $aElectronic books.
776 08 $iPrint version:$tDiscrete-time recurrent neural control$dBoca Raton, FL : CRC Press/Taylor & Francis Group, 2018.$z9781138550209 (hardback : acid-free paper)$w(DLC) 2018017837
830 0 $aAutomation and control engineering.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio14742640$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS