Hierarchical Self-Organizing Fuzzy Control for Uncertain Nonlinear Systems-Reference-Cited by-同舟云学术

Hierarchical Self-Organizing Fuzzy Control for Uncertain Nonlinear Systems

Published:2024-04 Issue:4 Volume:32 Page:2471-2482
ISSN:1063-6706
Container-title:IEEE Transactions on Fuzzy Systems
language:
Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Han Hong-Gui¹^ORCID,Feng Cheng-Cheng¹^ORCID,Sun Hao-Yuan¹^ORCID,Qiao Jun-Fei¹^ORCID

Affiliation:

1. Faculty of Information Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Beijing Artificial Intelligence Institute and Beijing Laboratory for Urban Mass Transit, Ministry of Education, Beijing University of Technology, Beijing, China

Funder

National Natural Science Foundation of China

National Key Research and Development Project

Beijing Outstanding Young Scientist Program

Beijing Natural Science Foundation

Youth Beijing Scholer

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/91/10488023/10422905.pdf?arnumber=10422905

Reference42 articles.

1. Real-Time Model Predictive Control Using a Self-Organizing Neural Network

2. Dealing With the Issues Crucially Related to the Functionality and Reliability of NN-Associated Control for Nonlinear Uncertain Systems

3. Adaptive Fuzzy Output Feedback Control for a Class of Nonlinear Systems With Full State Constraints

4. Model-Based Dynamic Event-Triggered Control for Systems With Uncertainty: A Hybrid System Approach

5. Adaptive-Fuzzy Control Compensation Design for Direct Adaptive Fuzzy Control

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