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 journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 485-490 |
Journal / Publication | IFAC Proceedings Volumes (IFAC-PapersOnline) |
Volume | 46 |
Issue number | 20 |
Publication status | Published - 2013 |
Conference
Title | 3rd IFAC International Conference on Intelligent Control and Automation Science, ICONS 2013 |
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Place | China |
City | Chengdu |
Period | 2 - 4 September 2013 |
Link(s)
Abstract
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
Citation Format(s)
Robust H∞ Stabilization of Uncertain T-S Fuzzy Systems via Dynamic Integral Sliding Mode Control. / Gao, Qing; Huang, He; Feng, Gang et al.
In: IFAC Proceedings Volumes (IFAC-PapersOnline), Vol. 46, No. 20, 2013, p. 485-490.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review