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Wang, Zheng, Liu, Jiali (2023) Reinforcement learning based-adaptive tracking control for a class of semi-markov non-Lipschitz uncertain system with unmatched disturbances. Information Sciences, 626. 407-427 doi:10.1016/j.ins.2023.01.043

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Reference TypeJournal (article/letter/editorial)
TitleReinforcement learning based-adaptive tracking control for a class of semi-markov non-Lipschitz uncertain system with unmatched disturbances
JournalInformation Sciences
AuthorsWang, ZhengAuthor
Liu, JialiAuthor
Year2023 (May)Volume626
PublisherElsevier BV
DOIdoi:10.1016/j.ins.2023.01.043Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID15676547Long-form Identifiermindat:1:5:15676547:5
GUID0
Full ReferenceWang, Zheng, Liu, Jiali (2023) Reinforcement learning based-adaptive tracking control for a class of semi-markov non-Lipschitz uncertain system with unmatched disturbances. Information Sciences, 626. 407-427 doi:10.1016/j.ins.2023.01.043
Plain TextWang, Zheng, Liu, Jiali (2023) Reinforcement learning based-adaptive tracking control for a class of semi-markov non-Lipschitz uncertain system with unmatched disturbances. Information Sciences, 626. 407-427 doi:10.1016/j.ins.2023.01.043
In(2023) Information Sciences Vol. 626. Elsevier BV

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