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2016 | OriginalPaper | Buchkapitel

60. Stochastic Stabilization of a Class of Nonlinear Systems with Sampled Data Control

verfasst von : Yueling Shen, Wenbing Zhang

Erschienen in: Proceedings of the 2015 Chinese Intelligent Systems Conference

Verlag: Springer Berlin Heidelberg

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Abstract

In this paper, the stabilization problem is investigated for a class of nonlinear stochastic systems with sampled data control. By means of the Lyapunov stability theory, a sufficient condition is derived to ensure that the considered stochastic nonlinear system with sampled data is asymptotically stable in mean square. The allowable bound of the sampling interval is obtained and the control gain matrix is solved in terms of convex optimization methods. Finally, a numerical example is presented to further demonstrate the effectiveness of the proposed approach.

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Metadaten
Titel
Stochastic Stabilization of a Class of Nonlinear Systems with Sampled Data Control
verfasst von
Yueling Shen
Wenbing Zhang
Copyright-Jahr
2016
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-662-48386-2_60