Fuzzy Weight-Based Reinforcement Learning for Event-Triggered Optimal Backstepping Control of Fractional-Order Nonlinear Systems-Reference-Cited by-同舟云学术

Fuzzy Weight-Based Reinforcement Learning for Event-Triggered Optimal Backstepping Control of Fractional-Order Nonlinear Systems

Published:2024-01 Issue:1 Volume:32 Page:214-225
ISSN:1063-6706
Container-title:IEEE Transactions on Fuzzy Systems
language:
Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Li Dongdong¹^ORCID,Dong Jiuxiang¹^ORCID

Affiliation:

1. College of Information Science and Engineering, State Key Laboratory of Synthetical Automation of Process Industries, and the Key Laboratory of Vibration and Control of Aero-Propulsion Systems Ministry of Education, Northeastern University, Shenyang, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities in China

Research Fund of State Key Laboratory of Synthetical Automation for Process Industries in China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/91/10379493/10184190.pdf?arnumber=10184190

Reference55 articles.

1. Diffusion-Limited Aggregation, a Kinetic Critical Phenomenon