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Online adaptive approximate optimal tracking control with simplified dual approximation structure for continuous-time unknown nonlinear systems

contributor authorJing Na
contributor authorHerrmann, Guido
date accessioned2020-03-13T00:34:07Z
date available2020-03-13T00:34:07Z
date issued2014
identifier issn2329-9266
identifier other7004668.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1151417?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleOnline adaptive approximate optimal tracking control with simplified dual approximation structure for continuous-time unknown nonlinear systems
typeJournal Paper
contenttypeMetadata Only
identifier padid8334969
subject keywordsLyapunov methods
subject keywordsadaptive control
subject keywordscontinuous time systems
subject keywordsinfinite horizon
subject keywordsneurocontrollers
subject keywordsnonlinear control systems
subject keywordsoptimal control
subject keywordsparameter estimation
subject keywordspartial differential equations
subject keywordsstability
subject keywordsHJB equation
subject keywordsHamilton-Jacobi-Bellman equation
subject keywordsLyapunov theory
subject keywordsadaptive identifier
subject keywordsadaptive law design methodology
subject keywordsadaptive steady-state controller
subject keywordscontinuous-time unknown nonlinear systems
subject keywordscritic NN
subject keywordscritic neural network
subject keywordsidentifier NN
subject keywordsinfinite-horizon optimal tracking control problem
identifier doi10.1109/JAS.2014.7004668
journal titleAutomatica Sinica, IEEE/CAA Journal of
journal volume1
journal issue4
filesize850220
citations2


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