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.

翻译：自21世纪初以来，多智能体系统的控制引起了广泛的研究关注，其应用范围涵盖自然集体行为与社会动力学，以及自动驾驶车辆、传感器网络和智能电网等工程系统。尽管多智能体系统的研究已分化为众多专门方向，但系统阐述多智能体系统控制基本原理的教科书——包括英文教材——仍然稀缺。本书内容自2021年起已在教学中开发使用，最初作为河内科技大学"网络控制系统"与"多智能体系统控制"课程的越南语简明参考书。本书聚焦于该领域具有广泛持续关注度的基础主题精选。部分主题的复杂程度渐近于研究级水平，但分析过程以循序渐进的方式呈现，以帮助读者掌握常用方法与工具。全书分为三个主要部分：第一部分介绍多智能体系统与基础图论概念；第二部分探讨线性一致性算法的设计与分析；第三部分涵盖精选应用与研究方向，包括编队控制、网络定位、分布式优化、观点动力学及矩阵加权网络。每章末附有该领域知名学者介绍、延伸阅读建议及习题。本书的完成离不开家人、同事和朋友的鼓励、支持与建议。作者欢迎读者反馈以进一步完善本书内容。