Online Adaptive Integral Reinforcement Learning for Nonlinear Multi-Input System-Reference-Cited by-同舟云学术

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Online Adaptive Integral Reinforcement Learning for Nonlinear Multi-Input System

Published:2023-11 Issue:11 Volume:70 Page:4176-4180
ISSN:1549-7747
Container-title:IEEE Transactions on Circuits and Systems II: Express Briefs
language:
Short-container-title:IEEE Trans. Circuits Syst. II

Author:

Lv Yongfeng¹^ORCID,Chang Huimin²,Zhao Jun³^ORCID

Affiliation:

1. College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, China

2. School of Mathematical Sciences, Shanxi University, Taiyuan, China

3. College of Transportation, Shandong University of Science and Technology, Qingdao, China

Funder

National Natural Science Foundation of China

Fundamental Research Program of Shanxi Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8920/10299398/10129147.pdf?arnumber=10129147

Reference22 articles.

1. Novel iterative neural dynamic programming for data-based approximate optimal control design

2. Online H∞ control for completely unknown nonlinear systems via an identifier–critic-based ADP structure

3. Hamiltonian-Driven Adaptive Dynamic Programming With Efficient Experience Replay

4. Online adaptive algorithm for optimal control with integral reinforcement learning

5. ADP-Based Optimal Control for Systems With Mismatched Disturbances: A PMSM Application

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4. Robust optimal control of the multi‐input systems with unknown disturbance based on adaptive integral reinforcement learning Q‐function;International Journal of Robust and Nonlinear Control;2024-01-08

5. Integral-Reinforcement-Learning-Based Hierarchical Optimal Evolutionary Strategy for Continuous Action Social Dilemma Games;IEEE Transactions on Computational Social Systems;2024

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