Event-triggered adaptive critic learning for the unmatched uncertain and asymmetric input-constrained systems using particle swarm optimization

Practical applications often involveunmatched uncertainties and asymmetric input constraints. This paper focuses on designing a control strategy for a class of nonlinear systems with unmatched uncertainties and asymmetric input-constraints using event-triggered adaptive critic learning and particle...

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Vydané v:	Nonlinear dynamics Ročník 113; číslo 8; s. 8533 - 8553
Hlavní autori:	Chu, Zhousheng, Liu, Chong, Yue, Hongyun, Li, Weihua
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Dordrecht Springer Nature B.V 01.04.2025
Predmet:	Algorithms Asymmetry Closed loops Constraints Control systems Controllers Distance learning Dynamic programming Feedback control Machine learning Neural networks Nonlinear systems Optimal control Particle swarm optimization Uncertainty
ISSN:	0924-090X, 1573-269X
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