Consensus of Multi-Agent Systems with Binary-Valued Measurements

推荐语

本书是人工智能控制理论方面的专著。本书可供从事控制科学与工程、运筹学与控制理论、系统理论等专业人员阅读，也可供高等院校相关专业的师生参考。

内容简介

本书主要介绍在集值量测情况下的多智能体同步控制。首先，针对集值量测系统，介绍了两种辨识算法——无截断辨识算法和递推投影辨识算法，并分析了算法的性质；其次，基于两种辨识算法研究了不同拓扑结构不同系统动态下的多智能体同步控制，包括无向拓扑结构下的集值多智能体系统的同步控制、有向拓扑结构下的集值多智能体系统的同步控制、集值线性多智能体的同步控制，针对不同问题设计了不同的控制算法，并分别给出了同步控制速度。本书可供从事控制科学与工程、运筹学与控制理论、系统理论等专业人员阅读，也可供高等院校相关专业的师生参考。

目录

Introduction

1.1 Background

1.2 Review on consensus of multi-agent systems

1.3 Outline to this book

Preliminaries

2.1 Vectors and norms

2.2 Probability theory

2.3 Some inequalities

Identification of set-valued systems

3.1 Problem formulation

3.2 Identification algorithm without truncation

3.3 Recursive projection identification algorithm

3.4 Notes

Consensus of multi-agent systems with binary-valued measurements andundirected topology

4.1 Problem formulation

4.2 Two-time-scale consensus algorithm

4.3 Recursive projection consensus algorithm

4.4 Notes

Consensus of multi-agent systems with with binary-valuedmeasurements and directed topology

5.1 Problem formulation

5.2 Stochastic approximation based algorithm

5.3 Constant gain based algorithm

5.4 Notes

Consensus of linear multi-agent systems with binary-valuedmeasurements

6.1 Problem formulation

6.2 Algorithm Design

6.3 Properties of the algorithm

6.4 Simulation results

6.5 Notes