Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4629582 | Applied Mathematics and Computation | 2013 | 12 Pages |
Abstract
This paper proposes a robust adaptive control method for synchronization of uncertain chaotic neural networks with mixed delays. Uncertainty and disturbance in the networks are estimated by fuzzy disturbance observer without any prior information about them. The proposed control scheme with adaptive laws is derived based on Lyapunov–Krasovskii stability theory to guarantee the globally asymptotical synchronization between the networks. An example is illustrated to show the effectiveness of the proposed method.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
S.C. Jeong, D.H. Ji, Ju H. Park, S.C. Won,