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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, 00:00 authored by Z 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.

Language

en-aus

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

Brunel University; Institute for Resource Industries and Sustainability (IRIS); Yangzhou da xue;

Era Eligible

  • Yes

Journal

IEEE transactions on automatic control.