Please use this identifier to cite or link to this item: https://doi.org/10.1109/WCICA.2006.1713094
Title: Improved direct adaptive fuzzy control for a class of MIMO nonlinear systems
Authors: Zhang, T.
Ge, S.S. 
Keywords: Adaptive control
Fuzzy control
Fuzzy systems
Global stability
Issue Date: 2006
Source: Zhang, T.,Ge, S.S. (2006). Improved direct adaptive fuzzy control for a class of MIMO nonlinear systems. Proceedings of the World Congress on Intelligent Control and Automation (WCICA) 1 : 3857-3861. ScholarBank@NUS Repository. https://doi.org/10.1109/WCICA.2006.1713094
Abstract: This paper presents an effective scheme of direct adaptive fuzzy control for a class of nonlinear systems with unknown triangular control gain structure. The design is based on the principle of sliding mode control and the approximation capability of the first type fuzzy systems. By introducing the adaptive compensation for optimal approximation error, the closed-loop control system is shown to be globally stable, with tracking errors converging to zero. Simulation results demonstrate the effectiveness of the approach. ©2006 IEEE.
Source Title: Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
URI: http://scholarbank.nus.edu.sg/handle/10635/70552
ISBN: 1424403324
DOI: 10.1109/WCICA.2006.1713094
Appears in Collections:Staff Publications

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