A variable-barrier-function-based prescribed finite-time bounded-\(H_\infty\) reinforcement learning optimal tracking control strategy without dependence on initial condition
DOI10.1016/J.JFRANKLIN.2024.107120zbMATH Open1546.93147MaRDI QIDQ6611314
Author name not available (Why is that?), Hui Liu, Xiaohua Li, Yang Liu, Ying Liu
Publication date: 26 September 2024
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
optimal tracking controlbounded-\(H_\infty\)prescribed finite-time control reinforcement learningunknown initial tracking conditionvariable barrier function
Cites Work
- Tracking control of uncertain nonlinear systems with deferred asymmetric time-varying full state constraints
- Asymmetric integral barrier Lyapunov function-based adaptive tracking control considering full-state with input magnitude and rate constraint
- Adaptive neural networks finite-time tracking control for non-strict feedback systems via prescribed performance
- Adaptive neural control for a class of stochastic nonlinear systems by backstepping approach
- Robust fault-tolerant attitude tracking with guaranteed prescribed performance
- Event-triggered adaptive tracking control of uncertain nonlinear systems with prescribed performance and actuator failures
- Performance-constrained fault-tolerant DSC based on reinforcement learning for nonlinear systems with uncertain parameters
- Feedback and optimal sensitivity: Model reference transformations, multiplicative seminorms, and approximate inverses
- Adaptive Fixed-Time Control for MIMO Nonlinear Systems With Asymmetric Output Constraints Using Universal Barrier Functions
- Coordinated path following control for multi-unmanned surface vehicles with specified performance and periodic event-triggered mechanism
- Adaptive reinforcement learning optimal tracking control for strict-feedback nonlinear systems with prescribed performance
- Fixed-time bounded H infinity tracking control of a single-joint manipulator system with input saturation
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