H ∞ switching filter design for LPV systems in finite frequency domain

2013 ◽  
Vol 11 (3) ◽  
pp. 503-510 ◽  
Author(s):  
Heng Wang ◽  
He-Hua Ju ◽  
Yu-Long Wang
Keyword(s):  
Frequency Domain ◽  
Filter Design ◽  
Finite Frequency ◽  
Lpv Systems ◽  
Switching Filter

scholarly journals L2-gain filter design for continuous-time LPV systems in finite frequency domain

2018 ◽  
Vol 51 (26) ◽  
pp. 161-166
Author(s):  
Luciano Frezzatto ◽  
Ricardo C.L.F. Oliveira ◽  
Pedro L.D. Peres
Keyword(s):  
Frequency Domain ◽  
Continuous Time ◽  
Filter Design ◽  
Finite Frequency ◽  
Lpv Systems ◽  
L2 Gain

Fuzzy Fault Detection Filter Design for T–S Fuzzy Systems in the Finite-Frequency Domain

2017 ◽  
Vol 25 (5) ◽  
pp. 1051-1061 ◽  
Author(s):  
Ali Chibani ◽  
Mohammed Chadli ◽  
Peng Shi ◽  
Naceur Benhadj Braiek
Keyword(s):  
Fault Detection ◽  
Frequency Domain ◽  
Fuzzy Systems ◽  
Filter Design ◽  
Finite Frequency ◽  
Fault Detection Filter ◽  
Detection Filter

A fault detection observer design for LPV systems in finite frequency domain

2014 ◽  
Vol 88 (3) ◽  
pp. 571-584 ◽  
Author(s):  
Jianliang Chen ◽  
Yong-Yan Cao ◽  
Weidong Zhang
Keyword(s):  
Fault Detection ◽  
Frequency Domain ◽  
Observer Design ◽  
Finite Frequency ◽  
Lpv Systems

Residual Fault Detection Filter Design in the Finite Frequency Domain Based on LMI Optimization

2014 ◽  
Vol 494-495 ◽  
pp. 885-889 ◽  
Author(s):  
Li Hua Liu ◽  
Xiu Kun Wei ◽  
Xiao He Liu
Keyword(s):  
Fault Detection ◽  
Frequency Domain ◽  
Filter Design ◽  
Detection System ◽  
Detection Methods ◽  
Finite Frequency ◽  
Model Uncertainties ◽  
Lmi Optimization ◽  
Fault Detection Filter ◽  
Detection Filter

In the observer based fault detection methods, the parameter be designed and optimized is the observer gain matrix. However, an observer cannot be optimized to achieve all the expected performances. A novel fault detection filter designed method is presented in this paper, where the filter is cascaded after the observer based fault detection system. The filter is designed to be sensitive to the faults but robust to the disturbances and model uncertainties in the finite frequency domain. For the proposed filter, there are four matrices need to be optimized and the performance would be enhanced significantly. The effectiveness of the proposed method is demonstrated by applying it to a railway suspension system.

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