Introduction to Hybrid Intelligent Networks

Modeling, Communication, and Control

  • Zhi-Hong Guan
  • Bin Hu
  • Xuemin (Sherman) Shen

Table of contents

  1. Front Matter
    Pages i-ix
  2. Zhi-Hong Guan, Bin Hu, Xuemin (Sherman) Shen
    Pages 1-26
  3. Zhi-Hong Guan, Bin Hu, Xuemin (Sherman) Shen
    Pages 27-57
  4. Zhi-Hong Guan, Bin Hu, Xuemin (Sherman) Shen
    Pages 59-92
  5. Zhi-Hong Guan, Bin Hu, Xuemin (Sherman) Shen
    Pages 93-126
  6. Zhi-Hong Guan, Bin Hu, Xuemin (Sherman) Shen
    Pages 127-153
  7. Zhi-Hong Guan, Bin Hu, Xuemin (Sherman) Shen
    Pages 155-193
  8. Zhi-Hong Guan, Bin Hu, Xuemin (Sherman) Shen
    Pages 195-217
  9. Zhi-Hong Guan, Bin Hu, Xuemin (Sherman) Shen
    Pages 219-243
  10. Zhi-Hong Guan, Bin Hu, Xuemin (Sherman) Shen
    Pages 245-269
  11. Zhi-Hong Guan, Bin Hu, Xuemin (Sherman) Shen
    Pages 271-292

About this book


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 provides a succinct but useful guideline for designing neural network-based hybrid artificial intelligence for brain-inspired computation systems and applications in the Internet of Things.

Artificial Intelligence has developed into a deep research field targeting robots with more brain-inspired perception, learning, decision-making abilities, etc. This text devoted to a tutorial on hybrid intelligent networks that have been identified in nature and engineering, especially in the brain, modeled by hybrid dynamical systems and complex networks, and have shown potential application to brain-inspired intelligence. Included in this text are impulsive neural networks, neurodynamics, multiagent networks, hybrid dynamics analysis, collective dynamics, as well as hybrid communication, control and optimization methods.

Graduate students who are interested in artificial intelligence and hybrid intelligence, as well as professors and graduate students who are interested in neural networks and multiagent networks will find this textbook a valuable resource. AI engineers and consultants who are working in  wireless communications and networking will want to buy this book. Also, professional and academic institutions in universities and Mobile vehicle companies and engineers and managers who concern humans in the loop of IoT will also be interested in this book.


Neural network artificial intelligence impulsive neural network impulsive activation multi-agent network impulsive control hybrid dynamical system distributed control consensus multiconsensus performance design communication Internet of Things wireless communications and networking optimization

Authors and affiliations

  • Zhi-Hong Guan
    • 1
  • Bin Hu
    • 2
  • Xuemin (Sherman) Shen
    • 3
  1. 1.College of AutomationHuazhong University of Science and TechnologyWuhanChina
  2. 2.Wuhan National Laboratory For OptoelectronicsHuazhong University of Science and TechnologyWuhanChina
  3. 3.Electrical and Computer Engineering DepartmentUniversity of WaterlooWaterlooCanada

Bibliographic information

  • DOI
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-02160-3
  • Online ISBN 978-3-030-02161-0
  • Buy this book on publisher's site