Stability and Synchronization Control of Stochastic Neural Networks
This book reports on the latest findings in the study of Stochastic Neural Networks (SNN). The book collects the novel model of the disturbance driven by Levy process, the research method of M-matrix, and the adaptive control method of the SNN in the context of stability and synchronization control....
Κύριοι συγγραφείς: | , , , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2016.
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Έκδοση: | 1st ed. 2016. |
Σειρά: | Studies in Systems, Decision and Control,
35 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Relative Mathematic Foundation
- Asymptotical and Exponential Stability and Synchronization for NN
- Robust Stability and Synchronization for NN
- Adaptive Stability and Synchronization for NN
- Stability and Synchronization for Neutral-type NN
- Stability and Synchronization for NN with Levy Noise
- Some Applications to Finance Based-on NN.