Observer-based adaptive control and faults estimation for T-S fuzzy singular fractional order systems

被引:0
|
作者
Yan, Yuqing [1 ]
Zhang, Huaguang [2 ]
Ming, Zhongyang [1 ]
Wang, Yingchun [1 ]
机构
[1] Northeastern Univ, Coll Informat Sci & Engn, Box 134, Shenyang 110819, Peoples R China
[2] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110004, Liaoning, Peoples R China
来源
NEURAL COMPUTING & APPLICATIONS | 2022年 / 34卷 / 06期
关键词
T-S fuzzy singular systems; Fractional order systems; Adaptive fault-tolerant control; Robust H-infinity; TOLERANT CONTROL;
D O I
10.1007/s00521-021-06527-0
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper handles the issue of adaptive control and faults estimation of a class of T-S singular fractional order systems(SFOSs) with H-infinity performance, where the fractional order belongs to (0, 1). Firstly, a novel observer for SFOSs is proposed, which estimate unmeasurable or partially measurable state and faults, simultaneously. Secondly, regarding to the information obtained by the above observer and the designed adaptive parameters, an adaptive controller is proposed to estimate actuator faults of the SFOSs. Further, it is indispensable to ensure the admissibility of the proposed fuzzy SFOSs with H(infinity )performance, novel sufficient conditions are obtained by linear matrix inequalities (LMIs), Finally, to illustrate the method proposed above is available, simulation examples are presented.
引用
收藏
页码:4265 / 4275
页数:11
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