紀錄類型 : 書目-語言資料,印刷品: 單行本
作者 : SanchezEdgar N.,
合作者 : Ornelas-TellezFernando.,
出版地 : Boca Raton, FL
出版者 : CRC Press, Taylor & Francis Group;
出版年 : c2013.
面頁冊數 : xxx, 232 p.ill. (some col.) : 24 cm.;
集叢名 : System of systems engineering series
標題 : Kalman filtering. -
標題 : Neural networks (Computer science) -
標題 : Nonlinear control theory. -
電子資源 : http://jacketsearch.tandf.co.uk/common/jackets/covers/websmall/978146658/9781466580879.jpg
摘要註 : "This book presents a novel inverse optimal control approach for stabilization and trajectory tracking of discrete-time nonlinear systems, avoiding the need to solve the associated Hamilton-Jacobi-Bellman equation, and minimizing a cost functional, resulting in efficient controllers. Additionally, the book proposes the use of recurrent neural networks as a tool to model discrete-time nonlinear systems; such models combined with the inverse optimal control constitute a powerful tool to deal with uncertainties such as unmodeled dynamics and disturbances. Different simulations illustrate the effectiveness of the synthesized controllers for stabilization and trajectory tracking of discrete-time nonlinear systems"--Provided by publisher.
ISBN : 9781466580879
LEADER 01597cam a2200253 450
001 191791
005 20131029150538.0
009 17599919
009 206296
010 1 $a9781466580879$bbound$dNT4555
020 $aUS$b2012050923
042 $apcc
100 $a20151207d2013 m y0engy09 b
101 0 $aeng
102 $aus
105 $aa a 001yy
200 1 $aDiscrete-time inverse optimal control for nonlinear systems$fEdgar N. Sanchez, Fernando Ornelas-Tellez.
210 $aBoca Raton, FL$dc2013.$cCRC Press, Taylor & Francis Group
215 1 $axxx, 232 p.$cill. (some col.)$d24 cm.
225 1 $aSystem of systems engineering series
320 $aIncludes bibliographical references (p. 203-219) and index.
330 $a"This book presents a novel inverse optimal control approach for stabilization and trajectory tracking of discrete-time nonlinear systems, avoiding the need to solve the associated Hamilton-Jacobi-Bellman equation, and minimizing a cost functional, resulting in efficient controllers. Additionally, the book proposes the use of recurrent neural networks as a tool to model discrete-time nonlinear systems; such models combined with the inverse optimal control constitute a powerful tool to deal with uncertainties such as unmodeled dynamics and disturbances. Different simulations illustrate the effectiveness of the synthesized controllers for stabilization and trajectory tracking of discrete-time nonlinear systems"--Provided by publisher.
606 $aDiscrete-time systems.$2lc$315461
606 $aKalman filtering.$2lc$3104544
606 $aNeural networks (Computer science)$2lc$31693
606 $aNonlinear control theory.$2lc$3155356
676 $a003/.83$v23
680 $aQA402.35$b.S36 2013
700 1$aSanchez$bEdgar N.$3233349
701 1$aOrnelas-Tellez$bFernando.$3233350
856 42$3Cover image$uhttp://jacketsearch.tandf.co.uk/common/jackets/covers/websmall/978146658/9781466580879.jpg