Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4944610 | Information Sciences | 2017 | 26 Pages |
Abstract
This study focuses on stochastic stability and Hâ control of two-dimensional (2-D) continuous delayed Markovian jump systems (MJSs) with partial information on transition probability. At first, a sufficient condition for the stochastic stability of 2-D MJSs is proposed by choosing an appropriate Lyapunov-Krasovskii functional. Then, the results are developed by designing a state feedback controller that guarantees the stochastic stability of the resultant closed-loop system with a prescribed Hâ performance level γ. Finally, the proposed results are validated with the help of examples.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Imran Ghous, Zhengrong Xiang, Hamid Reza Karimi,