Fuzzy model-based fault detection for Markov jump systems

2008 ◽  
Vol 19 (11) ◽  
pp. 1248-1266 ◽  
Author(s):  
Shuping He ◽  
Fei Liu
2017 ◽  
Vol 354 (18) ◽  
pp. 8444-8460 ◽  
Author(s):  
Meng Zhang ◽  
Peng Shi ◽  
Zhitao Liu ◽  
Hongye Su ◽  
Longhua Ma

2017 ◽  
Vol 47 (8) ◽  
pp. 2388-2397 ◽  
Author(s):  
Zheng-Guang Wu ◽  
Shanling Dong ◽  
Peng Shi ◽  
Hongye Su ◽  
Tingwen Huang ◽  
...  

2013 ◽  
Vol 93 (9) ◽  
pp. 2381-2391 ◽  
Author(s):  
Yanyan Yin ◽  
Peng Shi ◽  
Fei Liu ◽  
Kok Lay Teo

2021 ◽  
pp. 1-12
Author(s):  
Peng Cheng ◽  
Hai Wang ◽  
Vladimir Stojanovic ◽  
Shuping He ◽  
Kaibo Shi ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Cheng Gong ◽  
Yi Zeng

This paper investigates theH∞filtering problem of discrete singular Markov jump systems (SMJSs) with mode-dependent time delay based on T-S fuzzy model. First, by Lyapunov-Krasovskii functional approach, a delay-dependent sufficient condition onH∞-disturbance attenuation is presented, in which both stability and prescribedH∞performance are required to be achieved for the filtering-error systems. Then, based on the condition, the delay-dependentH∞filter design scheme for SMJSs with mode-dependent time delay based on T-S fuzzy model is developed in term of linear matrix inequality (LMI). Finally, an example is given to illustrate the effectiveness of the result.


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