Decentralized Adaptive Control for Quasi-Consensus in Heterogeneous Nonlinear Multiagent Systems
This paper proposes some novel decentralized adaptive control protocols to settle the quasi-consensus problem of multiagent systems with heterogeneous nonlinear dynamics. Based on local communication with the leader and between the followers, some innovative control protocols are put forward to adap...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2021/2230805 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832556516081664000 |
|---|---|
| author | Jiaju An Wei Yang Xiaohui Xu Tianxiang Chen Bin Du Yi Tang Quan Xu |
| author_facet | Jiaju An Wei Yang Xiaohui Xu Tianxiang Chen Bin Du Yi Tang Quan Xu |
| author_sort | Jiaju An |
| collection | DOAJ |
| description | This paper proposes some novel decentralized adaptive control protocols to settle the quasi-consensus problem of multiagent systems with heterogeneous nonlinear dynamics. Based on local communication with the leader and between the followers, some innovative control protocols are put forward to adapt the control gains and coupling weights simultaneously and to steer the consensus errors to some bounded areas. In particular, two new inequalities are proposed to establish the Lyapunov-based adaptive controller design approach for quasi-consensus. Some quasi-consensus criteria are derived by utilizing the designed controllers, in which the error bound can be modulated on the basis of the adaptive controller parameters. Numerical tests are conducted to show the feasibility of the theoretical derivation. Our findings highlight quasi-consensus in heterogeneous multiagent systems without adding some additional complex nonlinear control terms to cancel the dynamical differences between agents. |
| format | Article |
| id | doaj-art-2502b41c2443495d81c85e3e0bdd4d3d |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-2502b41c2443495d81c85e3e0bdd4d3d2025-02-03T05:45:11ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2021-01-01202110.1155/2021/22308052230805Decentralized Adaptive Control for Quasi-Consensus in Heterogeneous Nonlinear Multiagent SystemsJiaju An0Wei Yang1Xiaohui Xu2Tianxiang Chen3Bin Du4Yi Tang5Quan Xu6School of Mechanical Engineering, Xihua University, Chengdu 610039, ChinaSchool of Mechanical Engineering, Xihua University, Chengdu 610039, ChinaSchool of Automobile and Transportation, Xihua University, Chengdu 610039, ChinaSchool of Mechanical Engineering, Xihua University, Chengdu 610039, ChinaSchool of Mechanical Engineering, Xihua University, Chengdu 610039, ChinaSchool of Mechanical Engineering, Xihua University, Chengdu 610039, ChinaSchool of Mechanical Engineering, Xihua University, Chengdu 610039, ChinaThis paper proposes some novel decentralized adaptive control protocols to settle the quasi-consensus problem of multiagent systems with heterogeneous nonlinear dynamics. Based on local communication with the leader and between the followers, some innovative control protocols are put forward to adapt the control gains and coupling weights simultaneously and to steer the consensus errors to some bounded areas. In particular, two new inequalities are proposed to establish the Lyapunov-based adaptive controller design approach for quasi-consensus. Some quasi-consensus criteria are derived by utilizing the designed controllers, in which the error bound can be modulated on the basis of the adaptive controller parameters. Numerical tests are conducted to show the feasibility of the theoretical derivation. Our findings highlight quasi-consensus in heterogeneous multiagent systems without adding some additional complex nonlinear control terms to cancel the dynamical differences between agents.http://dx.doi.org/10.1155/2021/2230805 |
| spellingShingle | Jiaju An Wei Yang Xiaohui Xu Tianxiang Chen Bin Du Yi Tang Quan Xu Decentralized Adaptive Control for Quasi-Consensus in Heterogeneous Nonlinear Multiagent Systems Discrete Dynamics in Nature and Society |
| title | Decentralized Adaptive Control for Quasi-Consensus in Heterogeneous Nonlinear Multiagent Systems |
| title_full | Decentralized Adaptive Control for Quasi-Consensus in Heterogeneous Nonlinear Multiagent Systems |
| title_fullStr | Decentralized Adaptive Control for Quasi-Consensus in Heterogeneous Nonlinear Multiagent Systems |
| title_full_unstemmed | Decentralized Adaptive Control for Quasi-Consensus in Heterogeneous Nonlinear Multiagent Systems |
| title_short | Decentralized Adaptive Control for Quasi-Consensus in Heterogeneous Nonlinear Multiagent Systems |
| title_sort | decentralized adaptive control for quasi consensus in heterogeneous nonlinear multiagent systems |
| url | http://dx.doi.org/10.1155/2021/2230805 |
| work_keys_str_mv | AT jiajuan decentralizedadaptivecontrolforquasiconsensusinheterogeneousnonlinearmultiagentsystems AT weiyang decentralizedadaptivecontrolforquasiconsensusinheterogeneousnonlinearmultiagentsystems AT xiaohuixu decentralizedadaptivecontrolforquasiconsensusinheterogeneousnonlinearmultiagentsystems AT tianxiangchen decentralizedadaptivecontrolforquasiconsensusinheterogeneousnonlinearmultiagentsystems AT bindu decentralizedadaptivecontrolforquasiconsensusinheterogeneousnonlinearmultiagentsystems AT yitang decentralizedadaptivecontrolforquasiconsensusinheterogeneousnonlinearmultiagentsystems AT quanxu decentralizedadaptivecontrolforquasiconsensusinheterogeneousnonlinearmultiagentsystems |