Design of robust fuzzy fault detection filter for polynomial fuzzy systems with new finite frequency specifications

被引:87
作者
Chibani, Ali [1 ]
Chadli, Mohammed [2 ]
Ding, Steven X. [3 ]
Braiek, Naceur Benhadj [1 ]
机构
[1] Univ Carthage, Polytech Sch Tunisia, Adv Syst Lab, BP 743, La Marsa 2078, Tunisia
[2] Univ Picardie Jules Verne, MIS, EA 4290, 33 Rue St Leu, F-80039 Amiens, France
[3] Univ Duisburg Essen, Bismarkstr 81 BB, D-47057 Duisburg, Germany
关键词
T-S fuzzy system; Polynomial fuzzy system; Fault detection filter; Finite frequency domain; H_/H-infinity index; LMI; SOS; LMI APPROACH; STABILITY ANALYSIS; NONLINEAR-SYSTEMS; SQUARES APPROACH; OBSERVER DESIGN; KYP LEMMA; DOMAIN; SUM;
D O I
10.1016/j.automatica.2018.03.024
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper investigates the problem of fault detection filter design for discrete-time polynomial fuzzy systems with faults and unknown disturbances. The frequency ranges of the faults and the disturbances are assumed to be known beforehand and to reside in low, middle or high frequency ranges. Thus, the proposed filter is designed in the finite frequency range to overcome the conservatism generated by those designed in the full frequency domain. Being of polynomial fuzzy structure, the proposed filter combines the H_/H-infinity performances in order to ensure the best robustness to the disturbance and the best sensitivity to the fault. Design conditions are derived in Sum Of Squares formulations that can be easily solved via available software tools. Two illustrative examples are introduced to demonstrate the effectiveness of the proposed method and a comparative study with LMI method is also provided. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:42 / 54
页数:13
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