Article ID Journal Published Year Pages File Type
6865395 Neurocomputing 2016 13 Pages PDF
Abstract
In this paper, the H∞ 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.
Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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