Synergetic learning structure-based neuro-optimal fault tolerant control for unknown nonlinear systems
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Publication:6077642
DOI10.1016/j.neunet.2022.08.010zbMath1525.93057WikidataQ114950034 ScholiaQ114950034MaRDI QIDQ6077642
Ping Guo, Bo Zhao, Hongbing Xia
Publication date: 18 October 2023
Published in: Neural Networks (Search for Journal in Brave)
Sensitivity (robustness) (93B35) Noncooperative games (91A10) Dynamic programming in optimal control and differential games (49L20) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40)
Cites Work
- Unnamed Item
- Multi-agent zero-sum differential graphical games for disturbance rejection in distributed control
- An iterative adaptive dynamic programming method for solving a class of nonlinear zero-sum differential games
- Passive fault tolerant perfect tracking with additive faults
- Approximate-optimal control algorithm for constrained zero-sum differential games through event-triggering mechanism
- Control allocation-based fault tolerant control
- Adaptive dynamic programming-based stabilization of nonlinear systems with unknown actuator saturation
- Event-driven \(H_\infty\) control with critic learning for nonlinear systems
- Distributed zero-sum differential game for multi-agent systems in strict-feedback form with input saturation and output constraint
- Approximate neural optimal control with reinforcement learning for a torsional pendulum device
- Improved value iteration for neural-network-based stochastic optimal control design
- Observer based adaptive dynamic programming for fault tolerant control of a class of nonlinear systems
- Adaptive Actuator Failure Compensation for Possibly Nonminimum-Phase Systems Using Control Separation Based LQ Design
- Zero-Sum Game-Based Optimal Secure Control Under Actuator Attacks
- Dissipative Systems Analysis and Control
- Observer-based event-triggered control for zero-sum games of input constrained multi-player nonlinear systems
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