Complex dynamical network control for trajectory tracking using delayed recurrent neural networks (Q1717800)
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scientific article; zbMATH DE number 7015823
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Complex dynamical network control for trajectory tracking using delayed recurrent neural networks |
scientific article; zbMATH DE number 7015823 |
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Complex dynamical network control for trajectory tracking using delayed recurrent neural networks (English)
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8 February 2019
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Summary: In this paper, the problem of trajectory tracking is studied. Based on the V-stability and Lyapunov theory, a control law that achieves the global asymptotic stability of the tracking error between a delayed recurrent neural network and a complex dynamical network is obtained. To illustrate the analytic results, we present a tracking simulation of a dynamical network with each node being just one Lorenz's dynamical system and three identical Chen's dynamical systems.
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