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Robust Model Predictive Control of Nonlinear Systems With Unmodeled Dynamics and Bounded Uncertainties Based on Neural Networks

contributor authorZheng Yan
contributor authorJun Wang
date accessioned2020-03-12T18:26:37Z
date available2020-03-12T18:26:37Z
date issued2014
identifier issn2162-237X
identifier other6582522.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/958681?show=full
formatgeneral
languageEnglish
publisherIEEE
titleRobust Model Predictive Control of Nonlinear Systems With Unmodeled Dynamics and Bounded Uncertainties Based on Neural Networks
typeJournal Paper
contenttypeMetadata Only
identifier padid7991158
subject keywordsJacobian matrices
subject keywordsdiscrete time systems
subject keywordslearning (artificial intelligence)
subject keywordsminimax techniques
subject keywordsneurocontrollers
subject keywordsnonlinear control systems
subject keywordspredictive control
subject keywordsrecurrent neural nets
subject keywordsrobust control
subject keywordsuncertain systems
subject keywordsJacobian linearization
subject keywordsMPC
subject keywordsbounded uncertainty
subject keywordsconstrained discrete-time system
subject keywordsconvex minimization problem
subject keywordsextreme learning machine
subject keywordsminimax optimization problem
subject keywordsneurodynamic approach
subject keywordsnonlinear system
subject keywordsrobust model predictive control
subject keywordssupervised learning
subject keywordstwo-layer recur
identifier doi10.1109/TNNLS.2013.2275948
journal titleNeural Networks and Learning Systems, IEEE Transactions on
journal volume25
journal issue3
filesize3085641
citations0


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