Exponential Stabilization of a Class of Stochastic System With Markovian Jump Parameters and Mode-Dependent Mixed Time-Delays
journal contribution
posted on 2017-12-06, 00:00authored byZ Wang, Yurong Liu, X Liu
In this technical note, the globally exponential stabilization problem is investigated for a general class of stochastic systems with both Markovian jumping parameters and mixed time-delays. The mixed mode-dependent time-delays consist of both discrete and distributed delays. We aim to design a memoryless state feedback controller such that the closed-loop system is stochastically exponentially stable in the mean square sense. First, by introducing a new Lyapunov-Krasovskii functional that accounts for the mode-dependent mixed delays, stochastic analysis is conducted in order to derive a criterion for the exponential stabilizability problem. Then, a variation of such a criterion is developed to facilitate the controller design by using the linear matrix inequality (LMI) approach. Finally, it is shown that the desired state feedback controller can be characterized explicitly in terms of the solution to a set of LMIs. Numerical simulation is carried out to demonstrate the effectiveness of the proposed methods.
Funding
Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)
History
Volume
55
Issue
7
Start Page
1656
End Page
1662
Number of Pages
7
eISSN
1558-2523
ISSN
0018-9286
Location
Piscataway, NJ, United States
Publisher
Institute of Electrical and Electronics Engineers Inc.