A new fault tolerant control scheme for non‐linear systems by T‐S fuzzy model approach-Reference-Cited by-同舟云学术

A new fault tolerant control scheme for non‐linear systems by T‐S fuzzy model approach

Published:2021-01-07 Issue:15 Volume:15 Page:1915-1930
ISSN:1751-8644
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Appl

Author:

Wu Yue¹^ORCID,Wang Yang²,Li Tieshan²³,Yang Zhixin⁴⁵

Affiliation:

1. The School of Electrical Engineering Southwest Jiaotong University Chengdu China

2. Navigation College Dalian Maritime University Dalian China

3. School of Automation Engineering University of Electronic Science and Technology of China Chengdu China

4. Department of Electromechanical Engineering Faculty of Science and Technology University of Macau Macau SAR China

5. State Key Laboratory of Internet of Things for Smart City and Department of Electromechanical Engineering University of Macau Macau China

Funder

National Natural Science Foundation of China

Science and Technology Development Fund

Fundamental Research Funds for the Central Universities

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cth2.12081

Reference44 articles.

1. Cooperative Fault-Tolerant Output Regulation for Multiagent Systems by Distributed Learning Control Approach

2. Finite time command filtered adaptive fault tolerant control for a class of uncertain nonlinear systems

3. Auxiliary Fault Tolerant Control With Actuator Amplitude Saturation and Limited Rate

4. Minimum-Learning-Parameters-Based Adaptive Neural Fault Tolerant Control With Its Application to Continuous Stirred Tank Reactor

5. Adaptive Neural Network Tracking Control for Robotic Manipulators With Dead Zone

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