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...

Celý popis

Podrobná bibliografia

Vydané v:	Communications in nonlinear science & numerical simulation Ročník 153; s. 109512
Hlavní autori:	Zhao, Junzheng, Niu, Ben, Xu, Ning, Zong, Guangdeng, Zhang, Liang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.02.2026
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!