An Improved Zonotopic Approach Applied to Fault Detection for Takagi–Sugeno Fuzzy Systems
Author:
Affiliation:
1. Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, China
2. University Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, Grenoble, France
3. Conservatoire National des Arts et Métiers (CNAM), Paris, France
Funder
National Natural Science Foundation of China
Natural Science Foundation of Heilongjiang Province
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/ielx7/91/10303750/10102555.pdf?arnumber=10102555
Reference39 articles.
1. An LMI approach to design robust fault detection filter for uncertain LTI systems
2. Fault Detection Based on Multi-objective Observer and Interval Hull Computation
3. Fault Estimation for Mode-Dependent IT2 Fuzzy Systems With Quantized Output Signals
4. Interval Estimation Methods for Discrete-Time Linear Time-Invariant Systems
5. Fuzzy Fault Detection Filter Design for T–S Fuzzy Systems in the Finite-Frequency Domain
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