多智能体系统控制
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AI总结：
本书系统阐述多智能体系统控制的基本原理，涵盖多智能体系统基础、线性一致性算法设计与分析以及应用方向，适合教学与研究参考。
摘要：
自2000年代初以来，多智能体系统的控制受到了广泛的研究兴趣，应用范围从自然群体行为和社会动态到工程系统，如自动驾驶车辆、传感器网络和智能电网。尽管多智能体系统的研究已经发展出众多专门方向，但提供系统阐述多智能体系统控制基本原理的教科书仍然稀缺。本书的材料自2021年起用于教学，最初作为河内理工大学网络控制系统和多智能体系统课程的简明越南语参考书。本书聚焦于广泛且持续感兴趣的几个基本主题。某些主题的复杂性接近研究级研究的复杂性，但分析是逐步进行的，以方便访问常用方法和工具。材料分为三个主要部分。第一部分介绍多智能体系统和基本图论概念。第二部分处理线性一致性算法的设计和分析。第三部分涵盖选定的应用和研究方向，包括编队控制、网络定位、分布式优化、意见动态和矩阵加权网络。每章结尾都有关于该领域著名研究者、进一步阅读和练习的注释。本书无法完成，离不开家人、同事和朋友的鼓励、支持和建议。作者感谢读者的反馈以进一步改进书的内容。
英文摘要：
Since the early 2000s, control of multiagent systems has attracted significant research interest, with applications ranging from natural collective behaviors and social dynamics to engineered systems such as autonomous vehicles, sensor networks, and smart grids. Although research on multi-agent systems has diversified into numerous specialized directions, textbooks -- including those in English -- that provide a systematic treatment of the fundamental principles of multi-agent system control remain scarce. The material presented in this book has been developed and used in teaching since 2021, initially as a concise Vietnamese-language reference for the courses Networked Control Systems and Control of Multi-Agent Systems at Hanoi University of Science and Technology. The book focuses on a selection of fundamental topics of broad and continuing interest in the field. The complexity of several topics is asymptotic to that encountered in research-level studies, however, the analysis is presented in a step-by-step manner to facilitate access to commonly used methods and tools. The material is divided into three main parts. Part I introduces multiagent systems and basic graph-theoretic concepts. Part II addresses the design and analysis of linear consensus algorithms. Part III covers selected applications and research directions, including formation control, network localization, distributed optimization, opinion dynamics, and matrix-weighted networks. Each chapter concludes with notes on notable researchers in this field, further reading, and exercises. This book cannot be completed without the encouragement, support and suggestions from families, colleagues and friends. The authors appreciate feedback from readers to further improve the content of the book.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
