Call for papers Special issue on Learning and control in cooperative multi-agent systems

作     者：Frank L. Lewis Zhong-Ping Jiang Tengfei Liu 

作者机构：UTA Research Institute The University of Texas at Arlington Texas U.S.A. Department of Electrical and Computer Engineering Polytechnic Institute of NYU BrooklynNY U.S.A. State Key Laboratory of Synthetical Process Automation Northeast University Shenyang China 

出 版 物：《Control Theory and Technology》 (控制理论与技术（英文版）)

年 卷 期：2014年第12卷第2期

页      面：215-216页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0815[工学-水利工程] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

摘      要：Cooperative control of multi-agent systems linked by communication networks is a well-developed and still growing field. The interplay of the individual agent dynamics and the communication graph topology results in intriguing and often surprising behaviors that are not manifested in the study of control systems for single-agent dynamics. This field brings systems theory, feedback control, graph theory, communication systems, complex systems theory to provide rigorous analysis and design for multiple dynamical systems interconnected by a graph information flow structure. Applications have been made to vehicle formation control, coordinated multi-satellite control, electric power system control, robotics, autonomous airborne systems, manufacturing production lines, and the synchronization of dynamical processes in chemistry, physics, biology, and chaotic systems.