Interval Observer-Based Fault Isolation for Discrete-Time Fuzzy Interconnected Systems With Unknown Interconnections

被引:74
|
作者
Zhang, Zhi-Hui [1 ]
Yang, Guang-Hong [1 ,2 ]
机构
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Liaoning, Peoples R China
[2] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Liaoning, Peoples R China
关键词
Dilated linear matrix inequalities (LMIs); fault isolation; fuzzy interconnected system; interval observer; piecewise Lyapunov functions; PIECEWISE LYAPUNOV FUNCTIONS; ROBUST FILTERING DESIGN; NONLINEAR-SYSTEMS; DISTRIBUTED CONTROL; DYNAMIC-SYSTEMS; STABILITY; STABILIZATION; DIAGNOSIS; DELAYS;
D O I
10.1109/TCYB.2017.2707462
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 is concerned with the fault isolation problem for discrete-time fuzzy interconnected systems with unknown interconnections. First, for each subsystem, a fault isolation interval observer is constructed by taking into account the bounds of the unknown interconnections and subsystem disturbances. Then, l(1) and H-infinity performances are introduced to improve the tightness of the residual intervals and the sensitivity to their own faults, respectively. Furthermore, the fault isolation decision is made by determining whether the zero value is excluded from each residual interval. By utilizing the piecewise Lyapunov functions and dilated linear matrix inequalities, the obtained observer design conditions are less conservative than the existing results with the common and diagonal Lyapunov functions. Finally, simulation results are presented for showing the effectiveness and superiority of the proposed method.
引用
收藏
页码:2413 / 2424
页数:12
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