Robust H Stabilization of Uncertain T-S Fuzzy Systems via Dynamic Integral Sliding Mode Control

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Original languageEnglish
Pages (from-to)485-490
Journal / PublicationIFAC Proceedings Volumes (IFAC-PapersOnline)
Issue number20
Publication statusPublished - 2013


Title3rd IFAC International Conference on Intelligent Control and Automation Science, ICONS 2013
Period2 - 4 September 2013


This paper addresses the integral sliding mode control (ISMC) design problem for nonlinear systems represented by T-S fuzzy systems with norm bounded parameter uncertainties. It is noted that most existing fuzzy ISMC approaches rely on a very restrictive assumption that all subsystems of the T-S fuzzy systems share the same input gain matrix. In order to remove this assumption, we proposed a novel dynamic integral sliding mode control scheme for T-S fuzzy systems. Reachability of the integral sliding surface is analyzed and asymptotic stability of the sliding motion are guaranteed if a set of linear matrix inequalities is feasible. Simulation results from a numerical example are provided to illustrate the effectiveness and advantages of the proposed approaches.

Research Area(s)

  • model free adaptive ILC, farm vehicles, path tracking