Introduction to Hybrid Intelligent Networks Modeling, Communication, and Control /
This book covers the fundamental principles, new theories and methodologies, and potential applications of hybrid intelligent networks. Chapters focus on hybrid neural networks and networked multi-agent networks, including their communication, control and optimization synthesis. This text also provi...
| Main Authors: | , , |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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| Edition: | 1st ed. 2019. |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- 1 Hybrid Intelligent Networks
- 2 Delayed Hybrid Impulsive Neural Networks
- 3 Hybrid Impulsive Neural Networks with Interval-Uncertain Weights
- 4 Multistability of Hybrid Impulsive Neural Networks and Associative Memories
- 5 Impulsive Neural Networks Towards Image Protection
- 6 Hybrid Memristor-Based Impulsive Neural Networks
- 7 Hybrid Impulsive and Switching Control
- 8 Hybrid Communication and Control in Multi-Agent Networks
- 9 Event-Driven Communication and Control in Multi-Agent Networks
- 10 Hybrid Event-Time-Driven Communication and Network Optimization.