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Adaptive observer-based non-linear stochastic system control with sliding mode schemes

Liu, J.; Zhu, Quanmin; Qiao, F.; Zhang, F.

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Authors

J. Liu

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Quan Zhu Quan.Zhu@uwe.ac.uk
Professor in Control Systems

F. Qiao

F. Zhang



Abstract

In this paper, an adaptive sliding mode observer is designed to reconstruct the states of non-linear stochastic systems with uncertainties from the measurable system output and the reconstructed states are employed to construct a sliding mode controller for the stabilization control of complex non-linear systems. It takes the advantages of the sliding mode schemes to design both the observer and the controller. The convergence of the observer and the globally asymptotical stability of the controller are analysed in terms of stochastic Lyapunov stability, and the effectiveness of the control strategy is verified with numerical simulation studies. © IMechE 2008.

Citation

Liu, J., Qiao, F., Zhu, Q., & Zhang, F. (2008). Adaptive observer-based non-linear stochastic system control with sliding mode schemes. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 222(7), 681-690. https://doi.org/10.1243/09596518JSCE585

Journal Article Type Article
Publication Date Oct 30, 2008
Deposit Date Dec 20, 2010
Publicly Available Date Feb 19, 2016
Journal Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering
Print ISSN 0959-6518
Publisher SAGE Publications
Peer Reviewed Peer Reviewed
Volume 222
Issue 7
Pages 681-690
DOI https://doi.org/10.1243/09596518JSCE585
Keywords adaptive observer, stochastic system control, sliding mode scheme, Itô differential equation
Public URL https://uwe-repository.worktribe.com/output/1014876
Publisher URL http://dx.doi.org/10.1243/09596518JSCE585

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