商品描述
This book provides a systematic and in-depth introduction to distributed optimal adaptive cooperative control for multiagent systems from a theoretical perspective. The major research topics include: adaptive neural networks-based control schemes under multiconstraints, adaptive optimal control, event-triggered adaptive optimal control and data-based reinforcement learning control. The comprehensive and systematic treatment of adaptive optimal control in multiagent systems is one of the major features of the book, which is particularly suitable for readers who are interested in learning principles and methods for dealing with control resource constraints in multiagent systems and designing energy-saving control protocols. The book can benefit researchers, engineers, and graduate students in the fields of complex networks, smart grids, applied mathematics, electrical and electronic engineering, computer engineering, etc.
商品描述(中文翻譯)
本書從理論的角度提供了對多代理系統的分散最佳自適應合作控制的系統性和深入介紹。主要研究主題包括：基於自適應神經網絡的多約束控制方案、自適應最佳控制、事件觸發的自適應最佳控制以及基於數據的強化學習控制。本書對多代理系統中自適應最佳控制的全面和系統性處理是其主要特點之一，特別適合對學習處理多代理系統中的控制資源約束原則和方法以及設計節能控制協議感興趣的讀者。本書對於複雜網絡、智慧電網、應用數學、電氣與電子工程、計算機工程等領域的研究人員、工程師和研究生均有幫助。
作者簡介
Xin Wang received his Ph.D. degree in Computer Science and Technology from Chongqing University, Chongqing, China, 2015. From 2018 to 2019, he was a visiting scholar with the Humboldt University of Berlin, Berlin, Germany, and with the Potsdam Institute for Climate Impact Research, Potsdam, Germany. Since 2018, He has been a professor with the school of Electronic and Information Engineering, Southwest University, since 2023. He has published about more than 50 journal papers. Huaqing Li (senior member, IEEE) received the BS degree in information and computing science from Chongqing University of Posts and Telecommunications, Chongqing, China, in 2009, and the Ph.D. degree in computer science and technology from Chongqing University, Chongqing, in 2013. He is currently a professor with the College of Electronic and Information Engineering, Southwest University, Chongqing. His main research interests include nonlinear dynamics and control, multiagent systems, and distributed optimization. He serves as a regional editor for Neural Computing and Applications and an Editorial Board Member for IEEE ACCESS. Tingwen Huang is a professor at Texas A&M University at Qatar. He received his Ph.D. degree from Texas A&M University, College Station, Texas, 2002. After graduated from Texas A&M University, he worked as a visiting assistant professor there. Then he joined Texas A\& M University at Qatar (TAMUQ) as an Assistant Professor in August 2003, and then he was promoted to a professor in 2013. Dr. Huang's focus areas for research interests include neural networks, chaotic dynamical systems, complex networks, optimization, and control. He has authored and co-authored more than 100 refereed journal papers.
作者簡介(中文翻譯)
辛旺於2015年獲得中國重慶大學計算機科學與技術博士學位。2018年至2019年，他曾擔任德國柏林洪堡大學及德國波茨坦氣候影響研究所的訪問學者。自2018年以來，他一直是西南大學電子與信息工程學院的教授，自2023年起擔任該職位。他已發表超過50篇期刊論文。
李華清（IEEE 高級會員）於2009年獲得中國重慶郵電大學信息與計算科學學士學位，並於2013年獲得重慶大學計算機科學與技術博士學位。他目前是重慶西南大學電子與信息工程學院的教授。他的主要研究興趣包括非線性動力學與控制、多智能體系統及分散式優化。他擔任《Neural Computing and Applications》的區域編輯及《IEEE ACCESS》的編輯委員會成員。
黃廷文是卡塔爾德州農工大學的教授。他於2002年獲得德州農工大學（College Station, Texas）的博士學位。從德州農工大學畢業後，他在該校擔任訪問助理教授。隨後，他於2003年8月加入卡塔爾德州農工大學（TAMUQ）擔任助理教授，並於2013年晉升為教授。黃博士的研究興趣包括神經網絡、混沌動力系統、複雜網絡、優化及控制。他已發表和共同發表超過100篇經過審核的期刊論文。
