文献类型：期刊文献

英文题名：Tracking Control of Networked Multi-Agent Systems Under New Characterizations of Impulses and Its Applications in Robotic Systems

作者：Tang, Yang[1];Xing, Xing[2];Karimi, Hamid Reza[3];Kocarev, Ljupco[4,5,6];Kurths, Juergen[7,8,9]

机构：[1]E China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China;[2]Bohai Univ, Sch Informat Sci & Technol, Jinzhou 121013, Peoples R China;[3]Univ Agder, Fac Sci & Engn, Dept Engn, N-4898 Grimstad, Norway;[4]Macedonian Acad Sci & Arts, Skopje 1000, Macedonia;[5]Univ Sv Kiril & Metodij, Fac Comp Sci & Engn, Skopje 1000, Macedonia;[6]Univ Calif San Diego, BioCircuits Inst, La Jolla, CA 92093 USA;[7]Potsdam Inst Climate Impact Res, D-14473 Potsdam, Germany;[8]Humboldt Univ, Inst Phys, D-12489 Berlin, Germany;[9]Nizhnii Novgorod State Univ, Dept Control Theory, Nizhnii Novgorod 606950, Russia

年份：2016

卷号：63

期号：2

起止页码：1299

外文期刊名：IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

收录：;EI(收录号：20161502216639);WOS:【SCI-EXPANDED(收录号:WOS:000369990300059)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 61203235, Grant 61203157, Grant 61222303, and Grant 61422303, in part by the German Research Foundation (DFG) under Grant IRTG 1740, in part by the Polish-Norwegian Research Programme under Grant Pol-Nor/200957/47/2013, and in part by the Alexander von Humboldt Foundation of Germany.

语种：英文

外文关键词：Leader-following consensus; multi-agent systems; robotic systems; time delays; tracking control

摘要：This paper examines the problem of tracking control of networked multi-agent systems with multiple delays and impulsive effects, whose results are applied to mechanical robotic systems. Four kinds of impulsive effects are taken into account: 1) both the strengths of impulsive effects and the number of nodes injected with impulses are time dependent; 2) the strengths of impulsive effects occur according to certain probabilities and the number of nodes under impulsive control is time varying; 3) the strengths of impulses are time varying, whereas the number of nodes with impulses takes place according to certain probabilities; 4) both the strengths of impulses and the number of nodes with impulsive control occur according to certain probabilities. By utilizing the comparison principle, criteria are established for these different cases and a relationship between the frequencies (occurrence probabilities) of impulses and systems' parameters is unveiled. Finally, an example for tracking control of robotic systems is provided to show the effectiveness of the presented results.