Synchronization stability of general complex dynamical networks with time-varying delays: A piecewise analysis method
β Scribed by Hongjie Li; Dong Yue
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 714 KB
- Volume
- 232
- Category
- Article
- ISSN
- 0377-0427
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β¦ Synopsis
The synchronization problem of some general complex dynamical networks with timevarying delays is investigated. Both time-varying delays in the network couplings and time-varying delays in the dynamical nodes are considered. The delays considered in this paper are assumed to vary in an interval, where the lower and upper bounds are known. Based on a piecewise analysis method, the variation interval of the time delay is firstly divided into several subintervals, by checking the variation of the derivative of a Lyapunov function in every subinterval, then the convexity of matrix function method and the free weighting matrix method are fully used in this paper. Some new delay-dependent synchronization stability criteria are derived in the form of linear matrix inequalities. Two numerical examples show that our method can lead to much less conservative results than those in the existing references.
π SIMILAR VOLUMES
This paper considers the problem of exponential stability analysis of neural networks with time-varying delays. The activation functions are assumed to be globally Lipschitz continuous. A linear matrix inequality (LMI) approach is developed to derive sufficient conditions ensuring the delayed neural