Suboptimal reduced control of unknown nonlinear singularly perturbed systems via reinforcement learning-Reference-Cited by-同舟云学术

Suboptimal reduced control of unknown nonlinear singularly perturbed systems via reinforcement learning

Published:2021-06 Issue:14 Volume:31 Page:6626-6645
ISSN:1049-8923
Container-title:International Journal of Robust and Nonlinear Control
language:en
Short-container-title:Int J Robust Nonlinear Control

Author:

Liu Xiaomin¹²,Yang Chunyu¹²,Zhou Linna¹²,Fu Jun³,Dai Wei¹²

Affiliation:

1. Engineering Research Center of Intelligent Control for Underground Space Ministry of Education, China University of Mining and Technology Xuzhou China

2. School of Information and Control Engineering China University of Mining and Technology Xuzhou China

3. State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rnc.5624

Reference46 articles.

1. Singular Perturbation Methods in Control: Analysis and Design

2. New method for composite optimal control of singularly perturbed systems

3. Finite Horizon Optimal Control of Singularly Perturbed Systems: A Differential Lyapunov Equation Approach $ $

4. The Linear Quadratic Regulator Problem for a Class of Controlled Systems Modeled by Singularly Perturbed Itô Differential Equations

5. Optimal control for a new class of singularly perturbed linear systems

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