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For: Wu B, Chen M, Shao S, Zhang L. Disturbance-observer-based adaptive NN control for a class of MIMO discrete-time nonlinear strict-feedback systems with dead zone. Neurocomputing 2021. [DOI: 10.1016/j.neucom.2021.02.077] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Number Cited by Other Article(s)
1
Wang Q, Yu Y, Zhang F, Huang P. Neural-network-based backstepping control for the post-capture tethered space combination using HDO. Neurocomputing 2023. [DOI: 10.1016/j.neucom.2022.11.080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
2
Decentralized event-triggered adaptive neural network control for nonstrict-feedback nonlinear interconnected systems with external disturbances against intermittent DoS attacks. Neurocomputing 2023. [DOI: 10.1016/j.neucom.2022.10.056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
3
Fan ZX, Adhikary AC, Li S, Liu R. Disturbance observer based inverse optimal control for a class of nonlinear systems. Neurocomputing 2022. [DOI: 10.1016/j.neucom.2022.05.115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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