Adaptive finite-time control for stochastic nonlinear systems subject to unknown covariance noise

DOI10.1016/j.jfranklin.2018.02.003zbMath1393.93137OpenAlexW2793786309MaRDI QIDQ1661759

Yong-Min Li, Yu-Ming Chu, Huifang Min, Yunliang Wei, Shengyuan Xu, Zheng Qiang Zhang

Publication date: 17 August 2018

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2018.02.003

zbMATH Keywords

stochastic nonlinear systemsstate-feedback controlleradaptive finite-time controlnoise of covariance

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Stochastic stability in control theory (93E15) Stochastic systems in control theory (general) (93E03)

Related Items (9)

Adaptive neural finite-time control of nonlinear systems subject to sensor hysteresis ⋮ Adaptive finite-time sliding mode backstepping controller for double-integrator systems with mismatched uncertainties and external disturbances ⋮ Adaptive tracking control for stochastic nonlinear systems with full-state constraints and unknown covariance noise ⋮ Vision-based adaptive fixed-time uncooperative target tracking for QUAV with unknown disturbances ⋮ Adaptive neural control for stochastic nonholonomic systems with full-state constraints and unknown covariance noise ⋮ Adaptive neural network finite-time tracking control of full state constrained pure feedback stochastic nonlinear systems ⋮ Barrier Lyapunov function-based tracking control for stochastic nonlinear systems with full-state constraints and input saturation ⋮ Variance-constrained filtering for nonlinear systems with randomly occurring quantized measurements: recursive scheme and boundedness analysis ⋮ Disturbance attenuation and rejection for a class of switched nonlinear systems subject to input and sensor saturations

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