Complex dynamical network control for trajectory tracking using delayed recurrent neural networks
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 anal...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2014
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| Online Access: | http://eprints.uanl.mx/15144/1/255.pdf |