Fault Diagnosis and Sliding Mode Fault Tolerant Control for Non-Gaussian Stochastic Distribution Control Systems Using T-s Fuzzy Model-Reference-Cited by-同舟云学术

Fault Diagnosis and Sliding Mode Fault Tolerant Control for Non-Gaussian Stochastic Distribution Control Systems Using T-s Fuzzy Model

Published:2016-10-04 Issue:2 Volume:19 Page:636-646
ISSN:1561-8625
Container-title:Asian Journal of Control
language:en
Short-container-title:Asian Journal of Control

Author:

Lina Yao¹,Chunhui Lei¹

Affiliation:

1. School of Electrical Engineering; Zhengzhou University; Zhengzhou Henan 450001 China

Publisher

Wiley

Subject

Control and Systems Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/asjc.1390/fullpdf

Reference22 articles.

1. Zhang , C. Y. Yu L. Liu X. Wang An incremental FGRA-based fault diagnosis method Proc. 11th World Cong. Intell. Control Automation Shenyang, China 3707-3712 2014

2. Observer design for stochastic nonlinear systems via contraction-based incremental stablity;Dani;IEEE Trans. Autom. Control,2015

3. MVEM-based fault diagnosis of automotive engines using dempster-shafer theory and multiple hypotheses testing;Vasu;IEEE Trans. Syst. Man Cybern.-Syst.,2015

4. The connection between bayesian estimation of a Gaussian random field and RKHS;Aravkin;IEEE Trans. Neural Netw. Learn. Syst.,2015

5. Fuzzy-model-based fault-tolerant design for nonlinear stochastic systems against simultaneous sensor and actuator faults;Liu;IEEE Trans. Fuzzy Syst.,2013

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