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×÷Õß:
Yujuan Wang; Yongduan Song; David J. Hill
ÎÄÌâ:
Zero-Error Consensus Tracking With Preassignable Convergence for Nonaffine Multiagent Systems
ÆÚ¿¯Ãû:
IEEE Transactions on Cybernetics
ÆÚ¿¯Äê·Ý:
2021
¾í(ÆÚ),ÆðÖ¹Ò³Âë:
Volume: 51, Issue: 3, 1300 - 1310
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lock86: ½ð±Ò+50, ¡ï¡ï¡ï¡ï¡ï×î¼Ñ´ð°¸ 2021-05-10 20:18:40
sunshan4379: LS-EPI+1, ¸ÐлӦÖú! 2021-05-19 15:09:59
Zero-Error Consensus Tracking With Preassignable Convergence for Nonaffine Multiagent Systems
×÷Õß:Wang, YJ (Wang, Yujuan)[ 1,2 ] ; Song, YD (Song, Yongduan)[ 1,2 ] ; Hill, DJ (Hill, David J.)[ 3 ]

²é¿´ Web of Science ResearcherID ºÍ ORCID
IEEE TRANSACTIONS ON CYBERNETICS

¾í: 51 ÆÚ: 3 Ò³: 1300-1310
DOI: 10.1109/TCYB.2019.2893461

³ö°æÄê: MAR 2021

ÎÄÏ×ÀàÐÍ:Article

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ÕªÒª
In this paper, we investigate the consensus tracking control problem for networked multiagent systems (MASs) with unknown nonaffine dynamics. Our goal is to achieve asymptotic (rather than ultimately uniformly bounded) consensus tracking, which is quite challenging especially if nonvanishing/nonparametric uncertainties are involved and at the same time the control protocol is required to be fully distributed and continuous everywhere. Here, we present a conceptually new and structurally simple solution with distributed and continuous control action. The developed method is capable of ensuring zero-error tracking with a unique converging feature in that the consensus tracking error first converges to a small adjustable residual set around zero within a prescribed finite time, and then further shrinks to zero exponentially. The key technique lies in the utilization of a state transformation based on certain scaling function. Our method also prevents the restrictive requirement that all subsystems have access to the linearly parameterized information as imposed in most existing consensus tracking results for nonlinear MAS.

¹Ø¼ü´Ê
×÷Õ߹ؼü´Ê:Uncertainty; Convergence; Trajectory; Multi-agent systems; Softening; Time-varying systems; Multiagent systems (MASs); nonaffine dynamics; preassignable convergence; zero-error consensus tracking

×÷ÕßÐÅÏ¢
ͨѶ×÷ÕßµØÖ·:

Chongqing University Chongqing Univ, Minist Educ, Key Lab Dependable Serv Comp Cyber Phys Soc, Chongqing 400044, Peoples R China.
Chongqing University Chongqing Univ, Sch Automat, Chongqing 400044, Peoples R China.
ͨѶ×÷ÕßµØÖ·: Wang, YJ (ͨѶ×÷Õß)

ÏÔʾ¸ü¶à        Chongqing Univ, Minist Educ, Key Lab Dependable Serv Comp Cyber Phys Soc, Chongqing 400044, Peoples R China.
ͨѶ×÷ÕßµØÖ·: Wang, YJ (ͨѶ×÷Õß)
ÏÔʾ¸ü¶à        Chongqing Univ, Sch Automat, Chongqing 400044, Peoples R China.
µØÖ·:

ÏÔʾ¸ü¶à        [ 1 ]‎ Chongqing Univ, Minist Educ, Key Lab Dependable Serv Comp Cyber Phys Soc, Chongqing 400044, Peoples R China
ÏÔʾ¸ü¶à        [ 2 ]‎ Chongqing Univ, Sch Automat, Chongqing 400044, Peoples R China
ÏÔʾ¸ü¶à        [ 3 ]‎ Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Peoples R China
µç×ÓÓʼþµØÖ·:yjwang66@cqu.edu.cn; ydsong@cqu.edu.cn; dhill@eee.hku.hk

»ù½ð×ÊÖúÖÂл
»ù½ð×ÊÖú»ú¹¹ÏÔʾÏêÇé        ÊÚȨºÅ
National Natural Science Foundation of China (NSFC)

61773081
61860206008
61803053
Hong Kong Research Grants Council

17200415
Chongqing Research Program of Basic Research and Frontier Technology

cstc2018jcyjAX0082
²é¿´»ù½ð×ÊÖúÐÅÏ¢   
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IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA

ÆÚ¿¯ÐÅÏ¢
Ŀ¼£º Current Contents Connect
Impact Factor (Ó°ÏìÒò×Ó): Journal Citation Reports
Àà±ð / ·ÖÀà
Ñо¿·½Ïò:Automation & Control Systems; Computer Science

Web of Science Àà±ð:Automation & Control Systems; Computer Science, Artificial Intelligence; Computer Science, Cybernetics

ÎÄÏ×ÐÅÏ¢
ÓïÑÔ:English

Èë²ØºÅ: WOS:000619376300017

PubMed ID: 30892257

ISSN: 2168-2267

eISSN: 2168-2275

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IDS ºÅ: QJ0JM

Web of Science ºËÐĺϼ¯ÖÐµÄ "ÒýÓõIJο¼ÎÄÏ×": 38

Web of Science ºËÐĺϼ¯ÖÐµÄ "±»ÒýƵ´Î": 5
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