Fuzzy-Model-Based Asynchronous Fault Detection for Markov Jump Systems With Partially Unknown Transition Probabilities: An Adaptive Event-Triggered Approach-Reference-Cited by-同舟云学术

Fuzzy-Model-Based Asynchronous Fault Detection for Markov Jump Systems With Partially Unknown Transition Probabilities: An Adaptive Event-Triggered Approach

Published:2022-11 Issue:11 Volume:30 Page:4679-4689
ISSN:1063-6706
Container-title:IEEE Transactions on Fuzzy Systems
language:
Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Ran Guangtao¹^ORCID,Liu Jian²^ORCID,Li Chuanjiang¹^ORCID,Lam Hak-Keung³^ORCID,Li Dongyu⁴^ORCID,Chen Hongtian⁵^ORCID

Affiliation:

1. Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, China

2. School of Automation, Southeast University, Nanjing, China

3. Department of Engineering, King’s College London, London, U.K.

4. School of Cyber Science and Technology, Beihang University, Beijing, China

5. Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, Canada

Funder

China Scholarship Council

National Natural Science Foundation of 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/ielx7/91/9933711/09729498.pdf?arnumber=9729498

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