Resilient dissipative based controller for stochastic systems with randomly occurring gain fluctuations

被引:24
|
作者
Sakthivel, R. [1 ,2 ]
Joby, Maya [3 ]
Anthoni, S. Marshal [3 ]
机构
[1] Bharathiar Univ, Dept Math, Coimbatore 641046, Tamil Nadu, India
[2] Sungkyunkwan Univ, Dept Math, Suwon 440746, South Korea
[3] Anna Univ, Dept Math, Reg Campus, Coimbatore 641046, Tamil Nadu, India
关键词
Stochastic systems; Resilient dissipative based control; Sampled-data approach; H-INFINITY CONTROL; NETWORKED CONTROL-SYSTEMS; SAMPLED-DATA CONTROL; ACTIVE SUSPENSION SYSTEMS; TIME-VARYING DELAY; NEURAL-NETWORKS; LINEAR-SYSTEMS; NONLINEAR-SYSTEMS; FAULT-DETECTION; FILTER DESIGN;
D O I
10.1016/j.ins.2017.08.025
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 addresses the dissipativity based resilient sampled-data control problem for a class of stochastic systems with actuator failures. In particular, the controller is assumed to posses probabilistic actuator faults with different failure rates. Moreover, the controller gain fluctuation appears in a random way which obeys certain Bernoulli distributed white noise sequences. A new set of sufficient conditions is obtained in terms of linear matrix inequalities for the derivation of resilient dissipative sampled-data controller by constructing an appropriate Lyapunov-Krasovskii functional together with free-weighting matrix technique. Simulation studies are performed to verify the performance and effectiveness of the proposed control design technique. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:447 / 462
页数:16
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