Finite-Time Adaptive Fuzzy Consensus Stabilization for Unknown Nonlinear Leaderless Multi-Agent Systems With Unknown Output Dead-Zone

In this paper, the finite-time adaptive consensus stabilization is investigated for unknown nonlinear leaderless multi-agent systems with unknown output dead-zone. Different from the previous results on the multi-agent systems with unknown dead-zone, the dead-zone nonlinear is researched in the outp...
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Autor*in:	Hainan Yang [verfasserIn] Yingzhan Lian [verfasserIn] Xinyu Zhang [verfasserIn] Qiushi Ye [verfasserIn] Xiannan Cao [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Multi-agent systems finite-time stability synchronization tracking adaptive backstepping unknown output dead-zone

Übergeordnetes Werk:	In: IEEE Access - IEEE, 2014, 7(2019), Seite 103595-103607
Übergeordnetes Werk:	volume:7 ; year:2019 ; pages:103595-103607

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1109/ACCESS.2019.2921720

Katalog-ID:	DOAJ057719586

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520			\|a In this paper, the finite-time adaptive consensus stabilization is investigated for unknown nonlinear leaderless multi-agent systems with unknown output dead-zone. Different from the previous results on the multi-agent systems with unknown dead-zone, the dead-zone nonlinear is researched in the output channel. By using the recursive backstepping design method and the universal approximation ability of fuzzy logic systems, a local controller for each follower is constructed. Meanwhile, a Lyapunov-based logic switching rule is applied to handle the unknown control gain problems aroused by the output dead-zone nonlinearities. It is, thus, shown that the established adaptive control protocol can assure the finite-time state synchronization of each node. Besides, the state synchronization error between any adjacent followers also converges to a small region of zero when time tends to $T_{0}$ . Finally, the two simulations are conducted to further verify our theoretical results.
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allfields	10.1109/ACCESS.2019.2921720 doi (DE-627)DOAJ057719586 (DE-599)DOAJe2cb7a0bff51483e86fe597422c7c7d5 DE-627 ger DE-627 rakwb eng TK1-9971 Hainan Yang verfasserin aut Finite-Time Adaptive Fuzzy Consensus Stabilization for Unknown Nonlinear Leaderless Multi-Agent Systems With Unknown Output Dead-Zone 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, the finite-time adaptive consensus stabilization is investigated for unknown nonlinear leaderless multi-agent systems with unknown output dead-zone. Different from the previous results on the multi-agent systems with unknown dead-zone, the dead-zone nonlinear is researched in the output channel. By using the recursive backstepping design method and the universal approximation ability of fuzzy logic systems, a local controller for each follower is constructed. Meanwhile, a Lyapunov-based logic switching rule is applied to handle the unknown control gain problems aroused by the output dead-zone nonlinearities. It is, thus, shown that the established adaptive control protocol can assure the finite-time state synchronization of each node. Besides, the state synchronization error between any adjacent followers also converges to a small region of zero when time tends to $T_{0}$ . Finally, the two simulations are conducted to further verify our theoretical results. Multi-agent systems finite-time stability synchronization tracking adaptive backstepping unknown output dead-zone Electrical engineering. Electronics. Nuclear engineering Yingzhan Lian verfasserin aut Xinyu Zhang verfasserin aut Qiushi Ye verfasserin aut Xiannan Cao verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 103595-103607 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:103595-103607 https://doi.org/10.1109/ACCESS.2019.2921720 kostenfrei https://doaj.org/article/e2cb7a0bff51483e86fe597422c7c7d5 kostenfrei https://ieeexplore.ieee.org/document/8732943/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 103595-103607
spelling	10.1109/ACCESS.2019.2921720 doi (DE-627)DOAJ057719586 (DE-599)DOAJe2cb7a0bff51483e86fe597422c7c7d5 DE-627 ger DE-627 rakwb eng TK1-9971 Hainan Yang verfasserin aut Finite-Time Adaptive Fuzzy Consensus Stabilization for Unknown Nonlinear Leaderless Multi-Agent Systems With Unknown Output Dead-Zone 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, the finite-time adaptive consensus stabilization is investigated for unknown nonlinear leaderless multi-agent systems with unknown output dead-zone. Different from the previous results on the multi-agent systems with unknown dead-zone, the dead-zone nonlinear is researched in the output channel. By using the recursive backstepping design method and the universal approximation ability of fuzzy logic systems, a local controller for each follower is constructed. Meanwhile, a Lyapunov-based logic switching rule is applied to handle the unknown control gain problems aroused by the output dead-zone nonlinearities. It is, thus, shown that the established adaptive control protocol can assure the finite-time state synchronization of each node. Besides, the state synchronization error between any adjacent followers also converges to a small region of zero when time tends to $T_{0}$ . Finally, the two simulations are conducted to further verify our theoretical results. Multi-agent systems finite-time stability synchronization tracking adaptive backstepping unknown output dead-zone Electrical engineering. Electronics. Nuclear engineering Yingzhan Lian verfasserin aut Xinyu Zhang verfasserin aut Qiushi Ye verfasserin aut Xiannan Cao verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 103595-103607 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:103595-103607 https://doi.org/10.1109/ACCESS.2019.2921720 kostenfrei https://doaj.org/article/e2cb7a0bff51483e86fe597422c7c7d5 kostenfrei https://ieeexplore.ieee.org/document/8732943/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 103595-103607
allfields_unstemmed	10.1109/ACCESS.2019.2921720 doi (DE-627)DOAJ057719586 (DE-599)DOAJe2cb7a0bff51483e86fe597422c7c7d5 DE-627 ger DE-627 rakwb eng TK1-9971 Hainan Yang verfasserin aut Finite-Time Adaptive Fuzzy Consensus Stabilization for Unknown Nonlinear Leaderless Multi-Agent Systems With Unknown Output Dead-Zone 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, the finite-time adaptive consensus stabilization is investigated for unknown nonlinear leaderless multi-agent systems with unknown output dead-zone. Different from the previous results on the multi-agent systems with unknown dead-zone, the dead-zone nonlinear is researched in the output channel. By using the recursive backstepping design method and the universal approximation ability of fuzzy logic systems, a local controller for each follower is constructed. Meanwhile, a Lyapunov-based logic switching rule is applied to handle the unknown control gain problems aroused by the output dead-zone nonlinearities. It is, thus, shown that the established adaptive control protocol can assure the finite-time state synchronization of each node. Besides, the state synchronization error between any adjacent followers also converges to a small region of zero when time tends to $T_{0}$ . Finally, the two simulations are conducted to further verify our theoretical results. Multi-agent systems finite-time stability synchronization tracking adaptive backstepping unknown output dead-zone Electrical engineering. Electronics. Nuclear engineering Yingzhan Lian verfasserin aut Xinyu Zhang verfasserin aut Qiushi Ye verfasserin aut Xiannan Cao verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 103595-103607 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:103595-103607 https://doi.org/10.1109/ACCESS.2019.2921720 kostenfrei https://doaj.org/article/e2cb7a0bff51483e86fe597422c7c7d5 kostenfrei https://ieeexplore.ieee.org/document/8732943/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 103595-103607
allfieldsGer	10.1109/ACCESS.2019.2921720 doi (DE-627)DOAJ057719586 (DE-599)DOAJe2cb7a0bff51483e86fe597422c7c7d5 DE-627 ger DE-627 rakwb eng TK1-9971 Hainan Yang verfasserin aut Finite-Time Adaptive Fuzzy Consensus Stabilization for Unknown Nonlinear Leaderless Multi-Agent Systems With Unknown Output Dead-Zone 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, the finite-time adaptive consensus stabilization is investigated for unknown nonlinear leaderless multi-agent systems with unknown output dead-zone. Different from the previous results on the multi-agent systems with unknown dead-zone, the dead-zone nonlinear is researched in the output channel. By using the recursive backstepping design method and the universal approximation ability of fuzzy logic systems, a local controller for each follower is constructed. Meanwhile, a Lyapunov-based logic switching rule is applied to handle the unknown control gain problems aroused by the output dead-zone nonlinearities. It is, thus, shown that the established adaptive control protocol can assure the finite-time state synchronization of each node. Besides, the state synchronization error between any adjacent followers also converges to a small region of zero when time tends to $T_{0}$ . Finally, the two simulations are conducted to further verify our theoretical results. Multi-agent systems finite-time stability synchronization tracking adaptive backstepping unknown output dead-zone Electrical engineering. Electronics. Nuclear engineering Yingzhan Lian verfasserin aut Xinyu Zhang verfasserin aut Qiushi Ye verfasserin aut Xiannan Cao verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 103595-103607 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:103595-103607 https://doi.org/10.1109/ACCESS.2019.2921720 kostenfrei https://doaj.org/article/e2cb7a0bff51483e86fe597422c7c7d5 kostenfrei https://ieeexplore.ieee.org/document/8732943/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 103595-103607
allfieldsSound	10.1109/ACCESS.2019.2921720 doi (DE-627)DOAJ057719586 (DE-599)DOAJe2cb7a0bff51483e86fe597422c7c7d5 DE-627 ger DE-627 rakwb eng TK1-9971 Hainan Yang verfasserin aut Finite-Time Adaptive Fuzzy Consensus Stabilization for Unknown Nonlinear Leaderless Multi-Agent Systems With Unknown Output Dead-Zone 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, the finite-time adaptive consensus stabilization is investigated for unknown nonlinear leaderless multi-agent systems with unknown output dead-zone. Different from the previous results on the multi-agent systems with unknown dead-zone, the dead-zone nonlinear is researched in the output channel. By using the recursive backstepping design method and the universal approximation ability of fuzzy logic systems, a local controller for each follower is constructed. Meanwhile, a Lyapunov-based logic switching rule is applied to handle the unknown control gain problems aroused by the output dead-zone nonlinearities. It is, thus, shown that the established adaptive control protocol can assure the finite-time state synchronization of each node. Besides, the state synchronization error between any adjacent followers also converges to a small region of zero when time tends to $T_{0}$ . Finally, the two simulations are conducted to further verify our theoretical results. Multi-agent systems finite-time stability synchronization tracking adaptive backstepping unknown output dead-zone Electrical engineering. Electronics. Nuclear engineering Yingzhan Lian verfasserin aut Xinyu Zhang verfasserin aut Qiushi Ye verfasserin aut Xiannan Cao verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 103595-103607 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:103595-103607 https://doi.org/10.1109/ACCESS.2019.2921720 kostenfrei https://doaj.org/article/e2cb7a0bff51483e86fe597422c7c7d5 kostenfrei https://ieeexplore.ieee.org/document/8732943/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 103595-103607
language	English
source	In IEEE Access 7(2019), Seite 103595-103607 volume:7 year:2019 pages:103595-103607
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topic_facet	Multi-agent systems finite-time stability synchronization tracking adaptive backstepping unknown output dead-zone Electrical engineering. Electronics. Nuclear engineering
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authorswithroles_txt_mv	Hainan Yang @@aut@@ Yingzhan Lian @@aut@@ Xinyu Zhang @@aut@@ Qiushi Ye @@aut@@ Xiannan Cao @@aut@@
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callnumber-first	T - Technology
author	Hainan Yang
spellingShingle	Hainan Yang misc TK1-9971 misc Multi-agent systems misc finite-time stability misc synchronization tracking misc adaptive backstepping misc unknown output dead-zone misc Electrical engineering. Electronics. Nuclear engineering Finite-Time Adaptive Fuzzy Consensus Stabilization for Unknown Nonlinear Leaderless Multi-Agent Systems With Unknown Output Dead-Zone
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topic_title	TK1-9971 Finite-Time Adaptive Fuzzy Consensus Stabilization for Unknown Nonlinear Leaderless Multi-Agent Systems With Unknown Output Dead-Zone Multi-agent systems finite-time stability synchronization tracking adaptive backstepping unknown output dead-zone
topic	misc TK1-9971 misc Multi-agent systems misc finite-time stability misc synchronization tracking misc adaptive backstepping misc unknown output dead-zone misc Electrical engineering. Electronics. Nuclear engineering
topic_unstemmed	misc TK1-9971 misc Multi-agent systems misc finite-time stability misc synchronization tracking misc adaptive backstepping misc unknown output dead-zone misc Electrical engineering. Electronics. Nuclear engineering
topic_browse	misc TK1-9971 misc Multi-agent systems misc finite-time stability misc synchronization tracking misc adaptive backstepping misc unknown output dead-zone misc Electrical engineering. Electronics. Nuclear engineering
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title	Finite-Time Adaptive Fuzzy Consensus Stabilization for Unknown Nonlinear Leaderless Multi-Agent Systems With Unknown Output Dead-Zone
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title_full	Finite-Time Adaptive Fuzzy Consensus Stabilization for Unknown Nonlinear Leaderless Multi-Agent Systems With Unknown Output Dead-Zone
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title_sort	finite-time adaptive fuzzy consensus stabilization for unknown nonlinear leaderless multi-agent systems with unknown output dead-zone
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title_auth	Finite-Time Adaptive Fuzzy Consensus Stabilization for Unknown Nonlinear Leaderless Multi-Agent Systems With Unknown Output Dead-Zone
abstract	In this paper, the finite-time adaptive consensus stabilization is investigated for unknown nonlinear leaderless multi-agent systems with unknown output dead-zone. Different from the previous results on the multi-agent systems with unknown dead-zone, the dead-zone nonlinear is researched in the output channel. By using the recursive backstepping design method and the universal approximation ability of fuzzy logic systems, a local controller for each follower is constructed. Meanwhile, a Lyapunov-based logic switching rule is applied to handle the unknown control gain problems aroused by the output dead-zone nonlinearities. It is, thus, shown that the established adaptive control protocol can assure the finite-time state synchronization of each node. Besides, the state synchronization error between any adjacent followers also converges to a small region of zero when time tends to $T_{0}$ . Finally, the two simulations are conducted to further verify our theoretical results.
abstractGer	In this paper, the finite-time adaptive consensus stabilization is investigated for unknown nonlinear leaderless multi-agent systems with unknown output dead-zone. Different from the previous results on the multi-agent systems with unknown dead-zone, the dead-zone nonlinear is researched in the output channel. By using the recursive backstepping design method and the universal approximation ability of fuzzy logic systems, a local controller for each follower is constructed. Meanwhile, a Lyapunov-based logic switching rule is applied to handle the unknown control gain problems aroused by the output dead-zone nonlinearities. It is, thus, shown that the established adaptive control protocol can assure the finite-time state synchronization of each node. Besides, the state synchronization error between any adjacent followers also converges to a small region of zero when time tends to $T_{0}$ . Finally, the two simulations are conducted to further verify our theoretical results.
abstract_unstemmed	In this paper, the finite-time adaptive consensus stabilization is investigated for unknown nonlinear leaderless multi-agent systems with unknown output dead-zone. Different from the previous results on the multi-agent systems with unknown dead-zone, the dead-zone nonlinear is researched in the output channel. By using the recursive backstepping design method and the universal approximation ability of fuzzy logic systems, a local controller for each follower is constructed. Meanwhile, a Lyapunov-based logic switching rule is applied to handle the unknown control gain problems aroused by the output dead-zone nonlinearities. It is, thus, shown that the established adaptive control protocol can assure the finite-time state synchronization of each node. Besides, the state synchronization error between any adjacent followers also converges to a small region of zero when time tends to $T_{0}$ . Finally, the two simulations are conducted to further verify our theoretical results.
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title_short	Finite-Time Adaptive Fuzzy Consensus Stabilization for Unknown Nonlinear Leaderless Multi-Agent Systems With Unknown Output Dead-Zone
url	https://doi.org/10.1109/ACCESS.2019.2921720 https://doaj.org/article/e2cb7a0bff51483e86fe597422c7c7d5 https://ieeexplore.ieee.org/document/8732943/ https://doaj.org/toc/2169-3536
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up_date	2024-07-03T13:42:18.558Z
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Finite-Time Adaptive Fuzzy Consensus Stabilization for Unknown Nonlinear Leaderless Multi-Agent Systems With Unknown Output Dead-Zone

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