Adaptive neural asymptotic tracking control for a class of stochastic non-strict-feedback switched systems
DOI10.1016/j.jfranklin.2021.09.016zbMath1481.93066OpenAlexW3201886253MaRDI QIDQ2071196
Yongbo Sun, Zheng-Guang Wu, Qianjin Zhao, Jian Wu
Publication date: 25 January 2022
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2021.09.016
dynamic surface controladaptive asymptotic tracking controlstochastic non-strict-feedback switched nonlinear systems
Feedback control (93B52) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Stochastic systems in control theory (general) (93E03) Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems) (93C30)
Cites Work
- Adaptive control-based barrier Lyapunov functions for a class of stochastic nonlinear systems with full state constraints
- Adaptive quantized DSC of output-constrained uncertain nonlinear systems with quantized input and input unmodeled dynamics
- Robust adaptive prescribed performance dynamic surface control for uncertain nonlinear pure-feedback systems
- Neuro-adaptive command filter control of stochastic time-delayed nonstrict-feedback systems with unknown input saturation
- Output-feedback adaptive control for a class of MIMO nonlinear systems with actuator and sensor faults
- Neural-networks-based adaptive quantized feedback tracking of uncertain nonlinear strict-feedback systems with unknown time delays
- Adaptive fuzzy output feedback control for high-order switched systems with fuzzy dead zone
- Adaptive fuzzy control of uncertain stochastic nonlinear systems with unknown dead zone using small-gain approach
- Dynamic surface control for a class of nonlinear systems
- Observer-based adaptive neural dynamic surface control for a class of non-strict-feedback stochastic nonlinear systems
- Adaptive dynamic surface asymptotic tracking for a class of uncertain nonlinear systems
- Stochastic Barbalat's Lemma and Its Applications
This page was built for publication: Adaptive neural asymptotic tracking control for a class of stochastic non-strict-feedback switched systems
