We present a new technique for controlling the behaviour of a large system composed of chaotic units by using only a few control units referred to as pinnings. Our model can be regarded as an extension of cellular neural networks to chaotic cells, in this paper described by Lorenz equations, locally
Pinning a stochastic neural network to the synchronous state
β Scribed by Tao He; Jigen Peng; Jikai Lei
- Publisher
- Springer-Verlag
- Year
- 2010
- Tongue
- English
- Weight
- 512 KB
- Volume
- 21
- Category
- Article
- ISSN
- 0941-0643
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