Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5775935 | Applied Mathematics and Computation | 2017 | 12 Pages |
Abstract
This paper addresses the Hâ control of continuous Markov jump systems with interval time-varying delay and incomplete transition probabilities. A linearization method is used to handle unknown transition probabilities. Meanwhile, the Wirtinger-based integral inequality and the reciprocally convex technique are adopted to deal with the time-varying delay. Additionally, a separating technique is employed to tackle the coupling among Lyapunov variable, system matrix and controller parameter. Based on these strategies, new sufficient conditions for the closed-loop system to be stochastically stable are formulated in the framework of linear matrix inequalities. Finally, numerical examples are provided to demonstrate the effectiveness of the proposed method.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Lingchun Li, Mouquan Shen, Guangming Zhang, Shen Yan,