Optimized Backstepping Combined With Dynamic Surface Technique for Single-Input–Single-Output Nonlinear Strict-Feedback System-Reference-Cited by-同舟云学术

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Optimized Backstepping Combined With Dynamic Surface Technique for Single-Input–Single-Output Nonlinear Strict-Feedback System

Published:2024-07 Issue:7 Volume:54 Page:4210-4221
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Wen Guoxing¹^ORCID,Zhou Ranran²,Zhao Yanlong³^ORCID,Niu Ben⁴^ORCID

Affiliation:

1. College of Science, Shandong University of Aeronautics, Binzhou, Shandong, China

2. School of Mathematics and Statistics, Qilu University of Technology, Jinan, China

3. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China

4. School of Control Science and Engineering, Dalian University of Technology, Dalian, Liaoning, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

CAS Project for Young Scientists in Basic Research

Natural Science Foundation of Shandong Province

Key Laboratory of Systems and Control, Chinese Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221021/10559914/10493168.pdf?arnumber=10493168

Reference35 articles.

1. Approximate Dynamic Programming

2. Optimized Multi-Agent Formation Control Based on an Identifier–Actor–Critic Reinforcement Learning Algorithm

3. Actor-Critic Off-Policy Learning for Optimal Control of Multiple-Model Discrete-Time Systems

4. Optimized Adaptive Nonlinear Tracking Control Using Actor–Critic Reinforcement Learning Strategy

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