Robust H∞ filtering and control for a class of linear systems with fractional stochastic noise

In this paper, a class of linear stochastic systems driven by fractional Brownian motion are investigated. The fractional infinitesimal operator and stability criterion based on the Lyapunov approach for the systems with fractional stochastic noise are employed, which are different from the results...

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Bibliographic Details
Published inPhysica A Vol. 526; p. 120958
Main Authors Lu, Shi, Zhang, Weihai
Format Journal Article
LanguageEnglish
Published Elsevier B.V 15.07.2019
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Summary:In this paper, a class of linear stochastic systems driven by fractional Brownian motion are investigated. The fractional infinitesimal operator and stability criterion based on the Lyapunov approach for the systems with fractional stochastic noise are employed, which are different from the results of classical stochastic systems. Firstly, the robust H∞ filtering problem is studied, and the stochastic stability and H∞ performance of the filtering error system are guaranteed by the feasibility of linear matrix inequalities. Secondly, robust H∞ control problem is investigated, and the closed-loop system driven by a fractional Brownian motion is stochastically stable and has H∞ performance if some linear matrix inequalities are feasible under the designed controller. Finally, two numerical examples show the effectiveness and correctness of the proposed methods. •Stochastic stability for the systems driven by fractional Brownian motion is defined.•The robust H∞ filtering problem is investigated for the linear system with fractional Brownian motion.•The robust H∞ control problem is studied for the linear uncertain system with fractional Brownian motion.
ISSN:0378-4371
1873-2119
DOI:10.1016/j.physa.2019.04.194