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Content Provider | IEEE Xplore Digital Library |
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Author | Kai-Shiuan Shih Li, T.-H.S. |
Copyright Year | 2009 |
Description | Author affiliation: Department of Electrical Engineering National Cheng Kung University, Tainan, Taiwan 701, R.O.C. (Kai-Shiuan Shih; Li, T.-H.S.) |
Abstract | The observer-based integral adaptive fuzzy sliding mode controllers are developed for a class of uncertain nonlinear systems. By designing the state observer, the fuzzy systems, which are used to approach any unknown functions, it can be constructed using the state observer-based estimations. Based on Lyapunov stability theorem, the proposed integral adaptive fuzzy sliding mode control system can guarantee the stability of the whole closed-loop systems and obtain good tracking performance as well. The proposed methods are applied to an inverted pendulum system achieve satisfactory simulation results. |
Starting Page | 1051 |
Ending Page | 1056 |
File Size | 452234 |
Page Count | 6 |
File Format | |
ISBN | 9781424427932 |
ISSN | 1062922X |
DOI | 10.1109/ICSMC.2009.5346002 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-10-11 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Programmable control Adaptive control Fuzzy control Fuzzy systems Nonlinear control systems Sliding mode control Control systems Nonlinear systems Observers State estimation observer-based stimation Integral adaptive fuzzy sliding mode control Lyapunov stability theorem |
Content Type | Text |
Resource Type | Article |
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