Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6865395 | Neurocomputing | 2016 | 13 Pages |
Abstract
In this paper, the Hâ stabilization problems for a class of uncertain Takagi-Sugeno (T-S) fuzzy neutral systems are investigated. Based on homogeneous polynomials and Pólya׳s theorem, a novel stabilization condition for uncertain T-S fuzzy neutral systems is proposed in terms of a linear matrix inequality (LMI) to guarantee the asymptotic stabilization of fuzzy neutral systems. In addition, by using a novel polynomial slack matrix, a more relaxed stabilization condition is developed. Lastly, a truck-trailer example and a numerical example are given to demonstrate that the proposed stabilization condition gives longer allowable delay times and lower desired level of disturbance attenuation γ than those obtained using some existing methods, showing the effectiveness and applicability of the proposed method.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Shun-Hung Tsai,