Integral Reinforcement Learning-Based Stochastic Guaranteed Cost Control for Time-Varying Systems with Asymmetric Saturation Actuators

This study explores a stochastic guarantee cost control (GCC) for time-varying systems with random parameters and asymmetric saturation actuators by employing the integral reinforcement learning (IRL) method in the dynamic event-triggered (DET) mode. Firstly, a modified Hamilton–Jacobi–Isaac (HJI) e...

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Bibliographic Details
Published in:	Actuators Vol. 14; no. 10; p. 506
Main Authors:	Liang, Yuling, Xie, Mengjia, Zhang, Juan, Ming, Zhongyang, Gao, Zhiyun
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.10.2025
Subjects:	Actuators adaptive dynamic programming Aircraft Algorithms Analysis asymmetric saturation actuators Asymmetry Collocation methods Communication Cost control Design Dynamic programming Economic aspects Methods multivariate probabilistic collocation method Optimal control Ordinary differential equations Random variables Simulation Stability stochastic systems Systems stability Time varying control systems
ISSN:	2076-0825, 2076-0825
Online Access:	Get full text
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