Robust finite-time non-fragile sampled-data control for T-S fuzzy flexible spacecraft model with stochastic actuator faults

被引:65
作者
Kumar, S. Vimal [1 ]
Raja, R. [2 ]
Anthoni, S. Marshal [3 ]
Cao, Jinde [4 ,5 ]
Tu, Zhengwen [4 ,5 ,6 ]
机构
[1] Dept Math, RVS Tech Campus Coimbatore, Coimbatore 641402, Tamil Nadu, India
[2] Alagappa Univ, Ramanujan Ctr Higher Math, Karaikkudi 630004, Tamil Nadu, India
[3] Anna Univ, Dept Math, Reg Campus, Coimbatore 641046, Tamil Nadu, India
[4] Southeast Univ, Sch Math, Nanjing 211189, Jiangsu, Peoples R China
[5] Southeast Univ, Res Ctr Complex Syst & Network Sci, Nanjing 211189, Jiangsu, Peoples R China
[6] Chongqing Three Gorges Univ, Key Lab Intelligent Informat Proc & Control, Sch Math & Stat, Wanzhou 404100, Peoples R China
关键词
Flexible spacecraft; Takagi-Sugeno fuzzy system; Non-fragile sampled-data control; Stochastic actuator fault; OUTPUT-FEEDBACK CONTROL; NETWORKED CONTROL-SYSTEMS; H-INFINITY CONTROL; TOLERANT CONTROL; NEURAL-NETWORKS; NONLINEAR-SYSTEMS; L-2-GAIN ANALYSIS; SINGULAR SYSTEMS; ATTITUDE-CONTROL; STABILIZATION;
D O I
10.1016/j.amc.2017.11.001
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, the problem of robust finite-time non-fragile sampled-data control is investigated for uncertain flexible spacecraft model with stochastic actuator faults based on Takagi-Sugeno (T-S) fuzzy model approach. Specifically, the existence of stochastic actuator faults are described by using the Bernoulli distribution. On the basis of the input-delay approach, the sampled-data system is reformulated to a continuous time-varying delay system. Further, based on Lyapunov functional approach and linear matrix inequality technique, sufficient conditions are derived for the existence of the desired state feedback controller ensuring the stochastic finite-time bounded with prescribed H-infinity performance index. Finally, numerical simulations are provided for the practical flexible spacecraft control system to verify the effectiveness and applicability of the proposed control design. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:483 / 497
页数:15
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