Machine Behavior Design And Analysis: A Consensus Perspective

by Yinyan Zhang

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

204 pages, Paperback

Published March 18, 2020