| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1704201 | Applied Mathematical Modelling | 2012 | 10 Pages |
Abstract
In this paper, synchronization problems for a general complex networks are investigated by Takagi–Sugeno (T–S) fuzzy theory. A novel concept named linear approximation method is firstly proposed to solve the synchronization problems for T–S fuzzy complex networks. This novel method can linearize the system into some time-delay subsystems, which can effectively simplify the complicated system and then be easy to acquire the synchronization results. Since the expression based on linear matrix inequality (LMI) is used, the synchronization criteria can be easily checked in practice. Numerical simulation examples are provided to verify the effectiveness and the applicability of the proposed method.
Related Topics
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Authors
Dawei Gong, Huaguang Zhang, Zhanshan Wang, Jinhai Liu,