Dissipative Consensus Tracking of Fuzzy Multi-Agent Systems Via Adaptive Protocol
This article considers the design problems of adaptive consensus protocol for nonlinear multi-agent systems under directed topology and external disturbance. Considering external disturbance, we propose a new polynomial fuzzy modeling approach. Based on the monotonically increasing functions, novel...
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doaj-26c34462b75741629c951751a77c5f452021-03-30T04:29:52ZengIEEEIEEE Access2169-35362020-01-01820091520092210.1109/ACCESS.2020.30357949247960Dissipative Consensus Tracking of Fuzzy Multi-Agent Systems Via Adaptive ProtocolQinsheng Li0Jiafeng Yu1https://orcid.org/0000-0003-2214-2766Wen Xing2https://orcid.org/0000-0002-1561-1459Jian Wang3https://orcid.org/0000-0002-2525-4272Yan Shi4Jiangsu Maritime Institute, Nanjing, ChinaJiangsu Maritime Institute, Nanjing, ChinaCollege of Automation, Harbin Engineering University, Harbin, ChinaSchool of Mathematics and Physics, Bohai University, Jinzhou, ChinaGraduate School of Science and Technology, Tokai University, Kumamoto, JapanThis article considers the design problems of adaptive consensus protocol for nonlinear multi-agent systems under directed topology and external disturbance. Considering external disturbance, we propose a new polynomial fuzzy modeling approach. Based on the monotonically increasing functions, novel centralized adaptive protocol and distributed consensus protocol are designed respectively to guarantee that all agents can reach agreement. The distributed protocol is independent of global information of network topology and thereby is fully distributed. By constructing Lyapunov functions, SOS-based relaxed sufficient criteria are presented to achieve consensus. In addition, the time-varying coupling weights approach finite steady-state values. A simulation example is provided to demonstrate the effectiveness of the proposed adaptive consensus techniques.https://ieeexplore.ieee.org/document/9247960/Fuzzy modelingfully distributed consensusmulti-agent systemstrictly dissipativity |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Qinsheng Li Jiafeng Yu Wen Xing Jian Wang Yan Shi |
spellingShingle |
Qinsheng Li Jiafeng Yu Wen Xing Jian Wang Yan Shi Dissipative Consensus Tracking of Fuzzy Multi-Agent Systems Via Adaptive Protocol IEEE Access Fuzzy modeling fully distributed consensus multi-agent system strictly dissipativity |
author_facet |
Qinsheng Li Jiafeng Yu Wen Xing Jian Wang Yan Shi |
author_sort |
Qinsheng Li |
title |
Dissipative Consensus Tracking of Fuzzy Multi-Agent Systems Via Adaptive Protocol |
title_short |
Dissipative Consensus Tracking of Fuzzy Multi-Agent Systems Via Adaptive Protocol |
title_full |
Dissipative Consensus Tracking of Fuzzy Multi-Agent Systems Via Adaptive Protocol |
title_fullStr |
Dissipative Consensus Tracking of Fuzzy Multi-Agent Systems Via Adaptive Protocol |
title_full_unstemmed |
Dissipative Consensus Tracking of Fuzzy Multi-Agent Systems Via Adaptive Protocol |
title_sort |
dissipative consensus tracking of fuzzy multi-agent systems via adaptive protocol |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
This article considers the design problems of adaptive consensus protocol for nonlinear multi-agent systems under directed topology and external disturbance. Considering external disturbance, we propose a new polynomial fuzzy modeling approach. Based on the monotonically increasing functions, novel centralized adaptive protocol and distributed consensus protocol are designed respectively to guarantee that all agents can reach agreement. The distributed protocol is independent of global information of network topology and thereby is fully distributed. By constructing Lyapunov functions, SOS-based relaxed sufficient criteria are presented to achieve consensus. In addition, the time-varying coupling weights approach finite steady-state values. A simulation example is provided to demonstrate the effectiveness of the proposed adaptive consensus techniques. |
topic |
Fuzzy modeling fully distributed consensus multi-agent system strictly dissipativity |
url |
https://ieeexplore.ieee.org/document/9247960/ |
work_keys_str_mv |
AT qinshengli dissipativeconsensustrackingoffuzzymultiagentsystemsviaadaptiveprotocol AT jiafengyu dissipativeconsensustrackingoffuzzymultiagentsystemsviaadaptiveprotocol AT wenxing dissipativeconsensustrackingoffuzzymultiagentsystemsviaadaptiveprotocol AT jianwang dissipativeconsensustrackingoffuzzymultiagentsystemsviaadaptiveprotocol AT yanshi dissipativeconsensustrackingoffuzzymultiagentsystemsviaadaptiveprotocol |
_version_ |
1724181626528727040 |