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作者机构:Huazhong Univ Sci & Technol Educ Minist China Key Lab Image Proc & Intelligent Control Sch Artificial Intelligence & Automat Luoyu Rd 1037 Wuhan 430074 Peoples R China Wuchang Univ Technol Artificial Intelligence Sch Wuhan 430223 Peoples R China Guangdong HUST Ind Technol Res Inst Guangdong Prov Key Lab Digital Mfg Equipment Dongguan 523808 Peoples R China
出 版 物:《NEUROCOMPUTING》 (神经计算)
年 卷 期:2021年第442卷
页 面:209-220页
核心收录:
学科分类:08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:National Natural Science Foundation of China Special-Support Project of Guangdong Province [2019TQ05X195] Program for HUST Academic Frontier Youth Team [2018QYTD07]
主 题:Containment FOMASs Intermittent control Fractional-order Sampled data Communication constraints
摘 要:The containment control problems of fractional order multi-agent systems (FOMASs) over directed networks are discussed in this paper. Firstly, two distributed intermittent sampled data control (ISDC) protocols which can reduce controllers update rates and work hours, are introduced. Subsequently, some necessary and sufficient containment conditions are derived by virtue of Laplace transform and stability theory. The containment conditions reveal the relations among the fractional orders, sampling periods, communication constraints, coupling strengths and network topologies. Finally, two numerical experiments are presented to validate the theoretical results. (c) 2021 Elsevier B.V. All rights reserved.