A novel practically designated-time fuzzy optimal control via reinforcement learning for stochastic constrained nonlinear systems

This paper investigates the practically designated time fuzzy optimal control problem for stochastic constrained nonlinear systems with input delay, using reinforcement learning (RL) algorithms. For the uncertain stochastic nonlinear system, a new practically designated time control scheme is propos...

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Vydáno v:	Neurocomputing (Amsterdam) Ročník 654; s. 131315
Hlavní autoři:	Qiu, Lifang, Zhao, Junsheng, Sun, Zong-Yao, Mu, Chaoxu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 14.11.2025
Témata:	Event-triggered mechanism Fuzzy logic system Practically designated-time stabilization Reinforcement learning algorithm State constraint Event-triggered mechanism Practically designated-time stabilization Fuzzy logic system Reinforcement learning algorithm State constraint
ISSN:	0925-2312
On-line přístup:	Získat plný text
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