Self-triggered optimal fault-tolerant control for saturated-inputs zero-sum game nonlinear systems via particle swarm optimization-based reinforcement learning

•In this paper, PSOA is used for the first time to solve the optimal ZSG control problem for nonlinear systems. The algorithm can compensate for faults negative effects while minimizing the cost function.•Different from previous works on ETC, the design of the STC strategy avoids continuous monitori...

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Veröffentlicht in:	Communications in nonlinear science & numerical simulation Jg. 153; S. 109512
Hauptverfasser:	Zhao, Junzheng, Niu, Ben, Xu, Ning, Zong, Guangdeng, Zhang, Liang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.02.2026
Schlagworte:	Optimal control Particle swarm optimization algorithm Saturated-inputs Self-triggered control Zero-sum games Self-triggered control Zero-sum games Saturated-inputs Optimal control Particle swarm optimization algorithm
ISSN:	1007-5704
Online-Zugang:	Volltext
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