1. Weak synchronization of chaotic neural networks with parameter mismatch via periodically intermittent control
- Author
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Zhang, Wei, Huang, Junjian, and Wei, Pengcheng
- Subjects
- *
SYNCHRONIZATION , *CHAOS theory , *ARTIFICIAL neural networks , *ERROR analysis in mathematics , *LYAPUNOV functions , *COMPUTER simulation - Abstract
Abstract: This paper deals with the synchronization of two coupled identical chaotic systems with parameter mismatch via using periodically intermittent control. In general, parameter mismatches are considered to have a detrimental effect on the synchronization quality between coupled identical systems: in the case of small parameter mismatches the synchronization error does not decay to zero or even a nonzero mean. Larger values of parameter mismatches can even result in the loss of synchronization. via intermittent control with periodically intervals, we can obtain the weak synchronization. Some sufficient conditions for the stabilization and weak synchronization of a large class of coupled identical chaotic systems will be derived by using Lyapunov stability theory. The analytical results are confirmed by numerical simulations. [ABSTRACT FROM AUTHOR]
- Published
- 2011
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