Neural network-based asymptotic tracking control design for stochastic nonlinear systems

DOI10.1080/00207721.2021.1913665zbMath1483.93295OpenAlexW3153908899MaRDI QIDQ5029159

Qidan Zhu, Yong-Chao Liu

Publication date: 11 February 2022

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2021.1913665

zbMATH Keywords

state constraintsstochastic nonlinear systemsasymptotic tracking controlbound estimation approach

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Stochastic systems in control theory (general) (93E03) Networked control (93B70)

Related Items (2)

Adaptive fuzzy asymptotic control for switched nonlinear systems with state constraints ⋮ Fixed-time prescribed performance fault compensation control of uncertain pure-feedback nonlinear systems

Cites Work

• Adaptive asymptotic tracking control of uncertain nonlinear systems with input quantization and actuator faults
• Barrier Lyapunov functions for Nussbaum gain adaptive control of full state constrained nonlinear systems
• Adaptive control-based barrier Lyapunov functions for a class of stochastic nonlinear systems with full state constraints
• Adaptive backstepping controller design using stochastic small-gain theorem
• Barrier Lyapunov functions for the control of output-constrained nonlinear systems
• Barrier Lyapunov function-based adaptive asymptotic tracking of nonlinear systems with unknown virtual control coefficients
• Fixed-time control design for nonlinear uncertain systems via adaptive method
• Adaptive tracking control for stochastic nonlinear systems with full-state constraints and unknown covariance noise
• Simplified optimized control using reinforcement learning algorithm for a class of stochastic nonlinear systems
• Adaptive neural network control for time-varying state constrained nonlinear stochastic systems with input saturation
• Adaptive neural network tracking control for a class of switched stochastic pure-feedback nonlinear systems with backlash-like hysteresis
• Asymptotic tracking control of uncertain nonlinear systems with unknown actuator nonlinearity and unknown gain signs
• Asymptotic Tracking Control of Uncertain Nonlinear Systems With Unknown Actuator Nonlinearity
• Stabilization of stochastic nonlinear systems driven by noise of unknown covariance
• Adaptive neural tracking control for nonstrict-feedback stochastic nonlinear time-delay systems with full-state constraints
• Fast smooth second-order sliding mode control for stochastic systems with enumerable coloured noises
• Output Feedback Regulation of Stochastic Nonlinear Systems With Stochastic iISS Inverse Dynamics
• Adaptive fuzzy control for pure-feedback stochastic nonlinear systems with unknown dead zone outputs
• Adaptive output-feedback control for a class of stochastic nonlinear systems with unknown control directions and hysteresis input
• Adaptive fuzzy decentralised control for stochastic nonlinear large-scale systems in pure-feedback form
• Adaptive Tracking Control for a Class of Stochastic Uncertain Nonlinear Systems With Input Saturation
• Adaptive neural tracking control for a class of stochastic nonlinear systems
• Observer-Based Event-Triggered Approach for Stochastic Networked Control Systems Under Denial of Service Attacks
• Event-triggered adaptive fuzzy control for switched nonlinear systems with state constraints

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