Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1381
Title: Stable and robust fuzzy control for uncertain nonlinear systems based on a grid-point approach
Authors: Lam, H. K.
Leung, Frank H. F.
Tam, Peter K. S.
Subjects: Closed loop control systems
Control system analysis
Mathematical models
Matrix algebra
Nonlinear control systems
Parameter estimation
Robustness (control systems)
System stability
Issue Date: 1997
Publisher: IEEE
Source: Proceedings of the sixth IEEE International Conference on Fuzzy Systems : Barcelona, Spain, July 1-5, 1997, p. 87-92.
Abstract: This paper presents the stability and robustness analyses of uncertain nonlinear control systems. To proceed with the analysis, the uncertain nonlinear system is represented by a fuzzy model with uncertainties. Based on this model, under a single-grid-point (SGP) approach, a fuzzy controller is designed to close the feedback loop. A simple stability criterion is derived by estimating the norm of the system parameters and the matrix measure, and a robust area in the uncertain parameter space is defined. The design methodology of a multiple-grid-point (MGP) fuzzy controller for nonlinear systems subjected to large parameter uncertainties is developed based on the analysis results of the SGP approach.
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Type: Conference Paper
URI: http://hdl.handle.net/10397/1381
ISBN: 0-7803-3796-4
Appears in Collections:EE Conference Papers & Presentations

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