Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25963
Title: Adaptive fuzzy sliding mode control for SISO nonlinear systems
Authors: Ho, HF
Wong, YK
Rad, AB
Issue Date: 2003
Source: The 12th IEEE International Conference on Fuzzy Systems, 2003 : FUZZ '03, 25-28 May 2003, v. 2, p. 1344-1349
Abstract: In this paper, we develop a fuzzy logic system with sliding mode control for unknown nonlinear system. First, an observer for unknown tracking error is designed to obtain a sliding surface. Furthermore, the fuzzy system are employed to approximate the unknown nonlinear functions with e-modification learning laws to ensure the boundedness of estimated parameters. It is proved that the overall adaptive scheme guarantees the ultimately bounded tracking in the Lyapunov sense. Simulation studies have shown that the propose control algorithm performs well in tracking performance.
Keywords: Lyapunov matrix equations
Adaptive control
Fuzzy control
Fuzzy logic
Nonlinear control systems
Parameter estimation
Variable structure systems
Publisher: IEEE
ISBN: 0-7803-7810-5
DOI: 10.1109/FUZZ.2003.1206626
Appears in Collections:Conference Paper

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