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A New Fuzzy Lyapunov Approach to Non-Quadratic Stabilization of Takagi-Sugeno Fuzzy Models Cover

A New Fuzzy Lyapunov Approach to Non-Quadratic Stabilization of Takagi-Sugeno Fuzzy Models

Open Access
|Apr 2007

Abstract

In this paper, new non-quadratic stability conditions are derived based on the parallel distributed compensation scheme to stabilize Takagi-Sugeno (T-S) fuzzy systems. We use a non-quadratic Lyapunov function as a fuzzy mixture of multiple quadratic Lyapunov functions. The quadratic Lyapunov functions share the same membership functions with the T-S fuzzy model. The stability conditions we propose are less conservative and stabilize also fuzzy systems which do not admit a quadratic stabilization. The proposed approach is based on two assumptions. The first one relates to a proportional relation between multiple Lyapunov functions and the second one considers an upper bound to the time derivative of the premise membership functions. To illustrate the advantages of our proposal, four examples are given.

DOI: https://doi.org/10.2478/v10006-007-0005-4 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 39 - 51
Published on: Apr 5, 2007
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2007 Ibtissem Abdelmalek, Noureddine Goléa, Mohamed Hadjili, published by University of Zielona Góra
This work is licensed under the Creative Commons License.

Volume 17 (2007): Issue 1 (March 2007)