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Takagi-Sugeno Fuzzy System based Stable Direct Adaptive Control of Nonlinear Systems

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International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 68 - Number 15
Year of Publication: 2013
Authors:
Bharat Bhushan
Sudarshan K. Valluru
Madhusudan Singh
10.5120/11657-7172

Bharat Bhushan, Sudarshan K Valluru and Madhusudan Singh. Article: Takagi-Sugeno Fuzzy System based Stable Direct Adaptive Control of Nonlinear Systems. International Journal of Computer Applications 68(15):30-36, April 2013. Full text available. BibTeX

@article{key:article,
	author = {Bharat Bhushan and Sudarshan K. Valluru and Madhusudan Singh},
	title = {Article: Takagi-Sugeno Fuzzy System based Stable Direct Adaptive Control of Nonlinear Systems},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {68},
	number = {15},
	pages = {30-36},
	month = {April},
	note = {Full text available}
}

Abstract

This paper proposes a novel idea for stable direct adaptive control of nonlinear systems using Lyapunov function with fuzzy approach. Stable direct adaptive control law consists of an ideal control, and a sliding mode control. Sliding mode controller is used to ensure the stability of Lyapunov function. Stability of direct adaptive control law is tested on two nonlinear systems. Non linear systems analyzed are ball beam system and cart pole system. A computer simulation is performed on nonlinear systems by using MATLAB.

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