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000910616 020__ $$z9781466580879
000910616 020__ $$a9781466580886 $$q(electronic book)
000910616 035__ $$a(MiAaPQ)EBC1220111
000910616 035__ $$a(Au-PeEL)EBL1220111
000910616 035__ $$a(CaPaEBR)ebr11009140
000910616 035__ $$a(CaONFJC)MIL502177
000910616 035__ $$a(OCoLC)854973528
000910616 040__ $$aMiAaPQ$$beng$$erda$$epn$$cMiAaPQ$$dMiAaPQ
000910616 050_4 $$aQA402.35$$b.S36 2013
000910616 0820_ $$a003.83$$bS211
000910616 1001_ $$aSanchez, Edgar N.,$$eauthor.
000910616 24510 $$aDiscrete-time inverse optimal control for nonlinear systems /$$cEdgar N. Sanchez, Fernando Ornelas-Tellez.
000910616 264_1 $$aBoca Raton, Florida :$$bCRC Press, Taylor & Francis Group,$$c[2013]
000910616 264_4 $$c©2013
000910616 300__ $$a1 online resource (258 pages) :$$billustrations.
000910616 336__ $$atext$$2rdacontent
000910616 337__ $$acomputer$$2rdamedia
000910616 338__ $$aonline resource$$2rdacarrier
000910616 4901_ $$aSystem of systems engineering series
000910616 504__ $$aIncludes bibliographical references (pages 203-219) and index.
000910616 5050_ $$ach. 1. Introduction -- ch. 2. Mathematical preliminaries -- ch. 3. Inverse optimal control : a passivity approach -- ch. 4. Inverse optimal control : a CLF approach, part I -- ch. 5. Inverse optimal control : a CLF approach, part II -- ch. 6. Neural inverse optimal control -- ch. 7. Glycemic control of type 1 diabetes mellitus patients -- ch. 8. Conclusions.
000910616 506__ $$aAccess limited to authorized users.
000910616 520__ $$a"This book presents a novel inverse optimal control approach for stabilization and trajectory tracking of discrete-time nonlinear systems, avoiding the need to solve the associated Hamilton-Jacobi-Bellman equation, and minimizing a cost functional, resulting in efficient controllers. Additionally, the book proposes the use of recurrent neural networks as a tool to model discrete-time nonlinear systems; such models combined with the inverse optimal control constitute a powerful tool to deal with uncertainties such as unmodeled dynamics and disturbances. Different simulations illustrate the effectiveness of the synthesized controllers for stabilization and trajectory tracking of discrete-time nonlinear systems"--$$cProvided by publisher.
000910616 588__ $$aDescription based on print version record.
000910616 650_0 $$aNonlinear control theory.
000910616 650_0 $$aNeural networks (Computer science)
000910616 650_0 $$aDiscrete-time systems.
000910616 650_0 $$aKalman filtering.
000910616 7001_ $$aOrnelas-Tellez, Fernando,$$eauthor.
000910616 77608 $$iPrint version:$$aSanchez, Edgar N.$$tDiscrete-time inverse optimal control for nonlinear systems.$$dBoca Raton, Fla : CRC Press, Taylor & Francis Group, [2013]$$hxxx, 232 pages ; 24 cm$$kSystem of systems engineering series$$z9781466580879$$w(DLC)2012050923
000910616 830_0 $$aSystem of systems engineering series.
000910616 852__ $$bebk
000910616 85640 $$3ProQuest Ebook Central Academic Complete$$uhttps://univsouthin.idm.oclc.org/login?url=https://ebookcentral.proquest.com/lib/usiricelib-ebooks/detail.action?docID=1220111$$zOnline Access
000910616 909CO $$ooai:library.usi.edu:910616$$pGLOBAL_SET
000910616 980__ $$aEBOOK
000910616 980__ $$aBIB
000910616 982__ $$aEbook
000910616 983__ $$aOnline