Observer-Based Sliding Mode Control for Stochastic Nonlinear Markovian Jump Systems

Xiaohan Yin and Quanxin Zhu

Discrete Dynamics in Nature and Society, 2019, vol. 2019, 1-12

Abstract:

We consider a class of stochastic nonlinear Markovian jump systems (MJSs) with partly unknown transition rate and time-varying delays. The system under consideration is subject to the mode uncertainties and nonlinear term and disturbance term which are unknown. The main mission is to design the observer-based sliding mode controller for such a complex system. An observer is first constructed, and then we design an integral sliding mode surface such that the MJSs satisfy the reaching condition. The sliding mode control law ensures the stochastic stability of the closed-loop system. Finally, an example is given to illustrate the proposed results.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:5036917

DOI: 10.1155/2019/5036917

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