Consensus for Mixed-Order Multiagent Systems over Jointly Connected Topologies via Impulse Control
Because of the complexity of the environment, the dynamics of agents in the same system may be different. That is, the dynamics of some agents may be first ordered, and the others may be second ordered, even high ordered. In addition, the network topologies of systems are always varying over time. B...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2019/2720531 |
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| _version_ | 1832568249037881344 |
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| author | Fenglan Sun Xiaogang Liao Yongfu Li Feng Liu |
| author_facet | Fenglan Sun Xiaogang Liao Yongfu Li Feng Liu |
| author_sort | Fenglan Sun |
| collection | DOAJ |
| description | Because of the complexity of the environment, the dynamics of agents in the same system may be different. That is, the dynamics of some agents may be first ordered, and the others may be second ordered, even high ordered. In addition, the network topologies of systems are always varying over time. Because of these facts, this paper studies the consensus problem of the mixed-order multiagent networks over the jointly connected topologies. By adopting the impulse control technique, some control protocols are proposed based on the information of the agents themselves and their neighbors. Several simulation results are given to verify the correctness of the theoretical results. |
| format | Article |
| id | doaj-art-d50e467fd10641669fe9a5edd36ddcdc |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-d50e467fd10641669fe9a5edd36ddcdc2025-02-03T00:59:26ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/27205312720531Consensus for Mixed-Order Multiagent Systems over Jointly Connected Topologies via Impulse ControlFenglan Sun0Xiaogang Liao1Yongfu Li2Feng Liu3Key Lab of Intelligent Analysis and Decision on Complex Systems, School of Science, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaKey Laboratory of Intelligent Air-Ground Cooperative Control for Universities in Chongqing, College of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaKey Laboratory of Intelligent Air-Ground Cooperative Control for Universities in Chongqing, College of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaSchool of Automation, China University of Geosciences, Wuhan, Hubei 430074, ChinaBecause of the complexity of the environment, the dynamics of agents in the same system may be different. That is, the dynamics of some agents may be first ordered, and the others may be second ordered, even high ordered. In addition, the network topologies of systems are always varying over time. Because of these facts, this paper studies the consensus problem of the mixed-order multiagent networks over the jointly connected topologies. By adopting the impulse control technique, some control protocols are proposed based on the information of the agents themselves and their neighbors. Several simulation results are given to verify the correctness of the theoretical results.http://dx.doi.org/10.1155/2019/2720531 |
| spellingShingle | Fenglan Sun Xiaogang Liao Yongfu Li Feng Liu Consensus for Mixed-Order Multiagent Systems over Jointly Connected Topologies via Impulse Control Complexity |
| title | Consensus for Mixed-Order Multiagent Systems over Jointly Connected Topologies via Impulse Control |
| title_full | Consensus for Mixed-Order Multiagent Systems over Jointly Connected Topologies via Impulse Control |
| title_fullStr | Consensus for Mixed-Order Multiagent Systems over Jointly Connected Topologies via Impulse Control |
| title_full_unstemmed | Consensus for Mixed-Order Multiagent Systems over Jointly Connected Topologies via Impulse Control |
| title_short | Consensus for Mixed-Order Multiagent Systems over Jointly Connected Topologies via Impulse Control |
| title_sort | consensus for mixed order multiagent systems over jointly connected topologies via impulse control |
| url | http://dx.doi.org/10.1155/2019/2720531 |
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