Event-triggered neural adaptive failure compensation control for stochastic systems with dead-zone output
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Publication:783641
DOI10.1007/s11071-019-04916-8zbMath1437.93129OpenAlexW2935763290WikidataQ128055873 ScholiaQ128055873MaRDI QIDQ783641
Yun Zhang, C. L. Philip Chen, Jianhui Wang, Zhi Liu
Publication date: 4 August 2020
Published in: Nonlinear Dynamics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11071-019-04916-8
Estimation and detection in stochastic control theory (93E10) Stochastic systems in control theory (general) (93E03)
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Adaptive self-triggered control for a nonlinear uncertain system based on neural observer ⋮ Adaptive neural event‐triggered control for nonlinear uncertain system with input constraint based on auxiliary system ⋮ Adaptive control-based barrier Lyapunov functions for strict-feedback stochastic nonlinear systems with input saturation and dead zone ⋮ Input-and-measurement event-triggered control for flexible air-breathing hypersonic vehicles with asymmetric partial-state constraints ⋮ Adaptive neural control for uncertain switched nonlinear systems with a switched filter-contained hysteretic quantizer ⋮ Sliding mode control for nonlinear stochastic systems with Markovian jumping parameters and mode-dependent time-varying delays ⋮ Switching mechanism-based event-triggered fuzzy adaptive control with prescribed performance for MIMO nonlinear systems
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