Qualitative Analysis and Control of Complex Neural Networks with Delays
This book focuses on the stability of the dynamical neural system, synchronization of the coupling neural system and their applications in automation control and electrical engineering. The redefined concept of stability, synchronization and consensus are adopted to provide a better explanation of t...
| Main Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2016, 2016
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| Edition: | 1st ed. 2016 |
| Series: | Studies in Systems, Decision and Control
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Introduction to Neural Networks
- Preliminaries on Dynamical Systems and Stability Theory
- Survey of Dynamics of Cohen-Grossberg Type RNNs
- Delay-partitioning-method Based Stability Result for RNNs
- Stability result on the static and vector field recurrent neural networks
- Stability Criteria for RNNs Based on Secondary Delay Partitioning
- LMI-based Stability Criteria for Static Neural Networks
- Multiple Stability for Discontinuous RNNs
- LMI-based Passibity Criteria for RNNs with Delays
- Dissipativity and Invariant Sets for Neural Networks with Delay
- Synchronization Stability in Complex Neural Networks
- Stabilization of Stochastic RNNs with Stochastic Delays
- Adaptive Synchronization of Complex Neural Networks