复杂网络动力学与智能控制  

Dynamics and Intelligent Control of Complex Networks

作　　者：胡滨[1] 关治洪[1] 谢侃[2] 陈关荣[3] Hu Bin;Guan Zhi-hong;Xie Kan;Chen Guan-rong(School of Artificial Intelligence and Automation,Huazhong University of Science and Technology,Wuhan 430074,China;School of Automation,Guangdong University of Technology,Guangzhou 510006,China;Department of Electrical Engineering,City University of Hong Kong,Hong Kong 999077,China)

机构地区：[1]华中科技大学人工智能与自动化学院,湖北武汉430074 [2]广东工业大学自动化学院,广东广州510006 [3]香港城市大学电机工程系,香港999077

出　　处：《广东工业大学学报》2021年第6期9-19,共11页Journal of Guangdong University of Technology

基　　金：国家自然科学基金资助项目(61976100);粤港澳离散制造智能化联合实验室资助项目(2020-2022)。

摘　　要：智能如何产生,其动力学行为如何演化、如何控制?针对这些问题,本文从复杂网络和动力学系统的角度简要综述智能控制的相关研究:讨论复杂网络、动力学系统、神经科学和智能控制交叉研究的内涵和挑战问题;概述牵制控制、混杂控制、自适应控制及复杂网络可控性等研究进展。并探讨复杂网络动力学与智能控制在脑科学与机器行为学中的相关应用及研究方向。How does intelligence emerge?What kinds of dynamical behaviors are intertwined with intelligence and how do we control them?Concerning with these two issues,relevant studies on intelligent control are briefly surveyed from an integrated viewpoint of complex network and dynamic systems.Presented first are fundamental concepts and challenging questions that arise from the interdisciplinary research areas of complex networks,dynamical systems,neuroscience,and intelligent control.An overview of research progress on intelligent control is further presented,emphasizing pinning control,hybrid control,adaptive control,and the controllability of complex networks.Moreover,potential applications of complex network dynamics and intelligent control in the fields of brain science and machine behavior are briefly discussed,with an outlook at possible research directions.

关 键 词：复杂网络 动力学系统 神经科学 智能控制 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程] TP183[自动化与计算机技术—控制科学与工程]