1 Introduction to Collective Machine Behavior
1.1 Collective Machine Behavior
1.2 Consensus 1.3 Theoretical Tools
1.4 Chapter Summary
References 2 Second-Order Min-Consensus
2.1 Introduction
2.2 Preliminary and Problem Formulation
2.3 Min-Consensus Under Switching Topology
2.4 Simulation Example
2.5 Chapter Summary
References
3 Consensus of High-Order Discrete-TimeMulti-Agent Systems
3.1 Introduction
3.2 Problem Description
3.3 Protocol Design
3.4 Theoretical Results
3.5 Illustrative Examples
3.6 Chapter Summary
References
4 Continuous-Time Biased Min-Consensus
4.1 Introduction
4.2 Background
4.3 Biased Min-Consensus 4.4 Equivalence to Shortest Path Planning
4.5 Simulations and Applications
4.6 Conclusions
References
5 Discrete-Time Biased Min-Consensus
5.1 Introduction
5.2 Preliminary
5.3 Discrete-Time Biased Min-Consensus 5.4 Algorithms
5.5 Numerical Investigations
5.6 Applications 5.7 Chapter Summary
References
6 Biased Consensus Based Distributed Neural Network
6.1 Introduction
6.2 Problem Formulation
6.3 Unified Scheme
6.4 Theoretical Results
6.5 Illustrative Examples
6.6 Extension to Path Planning of Mobile Robots
6.7 Chapter Summary
References
7 Predictive Suboptimal Consensus
7.1 Introduction
7.2 Preliminary 7.3 Control Law Design
7.4 Theoretical Results
7.5 Simulation Investigation 7.6 Chapter Summary
References
8 Adaptive Near-Optimal Consensus
8.1 Introduction
8.2 Problem Formulation
8.3 Nominal Near-Optimal Design
8.4 Adaptive Near-Optimal Design
8.5 Illustrative Example
8.6 Chapter Summary
References
About the Author: Yinyan Zhang received his B.E. degree from Sun Yat-sen University, Guangzhou, China and Ph.D. degree from the Hong Kong Polytechnic University, Hong Kong SAR, China. He was a Postdoctoral Fellow with the Department of Computing, Hong Kong Polytechnic University. Currently, he is a Professor with the College of Cyber Security, Jinan University, Guangzhou, China. His main research interests include multi-agent systems, intelligent control, robotics, and security and control of cyber-physical systems. He has published more than 40 scientific papers as an author or co-author, including 20 IEEE transaction papers.
Shuai Li received his B.E. degree in Precision Mechanical Engineering from Hefei University of Technology, China in 2005, his M.E. degree in Automatic Control Engineering from the University of Science and Technology of China in 2008, and his Ph.D. in Electrical and Computer Engineering from the Stevens Institute of Technology, USA in 2014. He is currently affiliated with the School of Engineering, Swansea University, UK. His main research interests include neural networks, robotics, control of networked systems, computation and optimization. He has been working on the research and application of neural networks/dynamics for more than 10 years, and has published more than 100 scientific papers. In addition, he is now serving as an associate editor of the International Journal of Advanced Robotic Systems, Frontiers in Neurorobotics, Neural Processing Letters, and Journal of Rehabilitation Robotics, and as an editorial board member for the International Journal of Distributed Sensor Networks and Neural Computation & Applications.
