Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1412
Title: Linear controllers for fuzzy systems subject to unknown parameters : stability analysis and design based on linear matrix inequality (LMI) approach
Authors: Lam, H. K.
Leung, Frank H. F.
Tam, Peter K. S.
Subjects: Computer simulation
Linear control systems
Lyapunov methods
Matrix algebra
System stability
Issue Date: 2001
Publisher: IEEE
Source: The 10th IEEE International Conference on Fuzzy Systems : meeting the grand challenge : machines that serve people : The University of Melbourne, Australia, December, 2001, Sunday 2nd to Wednesday 5th, p. 1012-1015.
Abstract: This paper presents a design approach of linear controllers for nonlinear systems with unknown parameters within known bounds. The plant is represented by a fuzzy model. Stability condition will be derived based on Lyapunov stability theory and formulated into an LMI (Linear Matrix Inequality) problem. The linear controller can be designed by solving the LMIs. To illustrate the merits and the design procedure of the proposed linear controller, an application example on stabilizing an inverted pendulum on a cart with unknown parameters is given.
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Type: Conference Paper
URI: http://hdl.handle.net/10397/1412
ISBN: 0-7803-7293-X
Appears in Collections:EIE Conference Papers & Presentations

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