Learning-Based Adaptive Fuzzy Output Feedback Control for MIMO Nonlinear Systems With Deception Attacks and Input Saturation-Reference-Cited by-同舟云学术

Learning-Based Adaptive Fuzzy Output Feedback Control for MIMO Nonlinear Systems With Deception Attacks and Input Saturation

Published:2024-05 Issue:5 Volume:32 Page:2850-2862
ISSN:1063-6706
Container-title:IEEE Transactions on Fuzzy Systems
language:
Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Zhao Ning¹^ORCID,Tian Yongjie¹^ORCID,Zhang Huiyan²^ORCID,Herrera-Viedma Enrique³^ORCID

Affiliation:

1. College of Control Science and Engineering, Bohai University, Jinzhou, China

2. National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing, China

3. Andalusian Research Institute in Data Science and Computational Intelligence, Department of Computer Science and AI, University of Granada, Granada, Spain

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/91/10517720/10428064.pdf?arnumber=10428064

Reference49 articles.

1. Event-Triggered Robust Adaptive Fuzzy Control for a Class of Nonlinear Systems

2. Observer-Based Finite-Time Adaptive Fuzzy Control with Prescribed Performance for Nonstrict-Feedback Nonlinear Systems

3. Predefined-Time Adaptive Neural Tracking Control of Switched Nonlinear Systems

4. Output-Feedback Adaptive Neural Network Control for Uncertain Nonsmooth Nonlinear Systems With Input Deadzone and Saturation

5. Sampled-Data Adaptive Output Feedback Fuzzy Stabilization for Switched Nonlinear Systems With Asynchronous Switching

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