Distributed Model-Free Bipartite Consensus Tracking for Unknown Heterogeneous Multi-Agent Systems with Switching Topology
This paper proposes a distributed model-free adaptive bipartite consensus tracking (DMFABCT) scheme. The proposed scheme is independent of a precise mathematical model, but can achieve both bipartite time-invariant and time-varying trajectory tracking for unknown dynamic discrete-time heterogeneous...
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| Format: | Article |
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MDPI AG
2020-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/15/4164 |
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| author | Huarong Zhao Li Peng Hongnian Yu |
| author_facet | Huarong Zhao Li Peng Hongnian Yu |
| author_sort | Huarong Zhao |
| collection | DOAJ |
| description | This paper proposes a distributed model-free adaptive bipartite consensus tracking (DMFABCT) scheme. The proposed scheme is independent of a precise mathematical model, but can achieve both bipartite time-invariant and time-varying trajectory tracking for unknown dynamic discrete-time heterogeneous multi-agent systems (MASs) with switching topology and coopetition networks. The main innovation of this algorithm is to estimate an equivalent dynamic linearization data model by the pseudo partial derivative (PPD) approach, where only the input–output (I/O) data of each agent is required, and the cooperative interactions among agents are investigated. The rigorous proof of the convergent property is given for DMFABCT, which reveals that the trajectories error can be reduced. Finally, three simulations results show that the novel DMFABCT scheme is effective and robust for unknown heterogeneous discrete-time MASs with switching topologies to complete bipartite consensus tracking tasks. |
| first_indexed | 2024-03-10T18:12:02Z |
| format | Article |
| id | doaj.art-68b75a6907214a72bab389931f6c5b13 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T18:12:02Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-68b75a6907214a72bab389931f6c5b132023-11-20T08:03:34ZengMDPI AGSensors1424-82202020-07-012015416410.3390/s20154164Distributed Model-Free Bipartite Consensus Tracking for Unknown Heterogeneous Multi-Agent Systems with Switching TopologyHuarong Zhao0Li Peng1Hongnian Yu2Research Center of Engineering Applications for IOT, Jiangnan University, Wuxi 214122, ChinaResearch Center of Engineering Applications for IOT, Jiangnan University, Wuxi 214122, ChinaSchool of Engineering and the Built Environment, Edinburgh Napier University, Edinburgh EH10 5DT, UKThis paper proposes a distributed model-free adaptive bipartite consensus tracking (DMFABCT) scheme. The proposed scheme is independent of a precise mathematical model, but can achieve both bipartite time-invariant and time-varying trajectory tracking for unknown dynamic discrete-time heterogeneous multi-agent systems (MASs) with switching topology and coopetition networks. The main innovation of this algorithm is to estimate an equivalent dynamic linearization data model by the pseudo partial derivative (PPD) approach, where only the input–output (I/O) data of each agent is required, and the cooperative interactions among agents are investigated. The rigorous proof of the convergent property is given for DMFABCT, which reveals that the trajectories error can be reduced. Finally, three simulations results show that the novel DMFABCT scheme is effective and robust for unknown heterogeneous discrete-time MASs with switching topologies to complete bipartite consensus tracking tasks.https://www.mdpi.com/1424-8220/20/15/4164data drivenmulti-agent systembipartite consensusswitching topologies |
| spellingShingle | Huarong Zhao Li Peng Hongnian Yu Distributed Model-Free Bipartite Consensus Tracking for Unknown Heterogeneous Multi-Agent Systems with Switching Topology Sensors data driven multi-agent system bipartite consensus switching topologies |
| title | Distributed Model-Free Bipartite Consensus Tracking for Unknown Heterogeneous Multi-Agent Systems with Switching Topology |
| title_full | Distributed Model-Free Bipartite Consensus Tracking for Unknown Heterogeneous Multi-Agent Systems with Switching Topology |
| title_fullStr | Distributed Model-Free Bipartite Consensus Tracking for Unknown Heterogeneous Multi-Agent Systems with Switching Topology |
| title_full_unstemmed | Distributed Model-Free Bipartite Consensus Tracking for Unknown Heterogeneous Multi-Agent Systems with Switching Topology |
| title_short | Distributed Model-Free Bipartite Consensus Tracking for Unknown Heterogeneous Multi-Agent Systems with Switching Topology |
| title_sort | distributed model free bipartite consensus tracking for unknown heterogeneous multi agent systems with switching topology |
| topic | data driven multi-agent system bipartite consensus switching topologies |
| url | https://www.mdpi.com/1424-8220/20/15/4164 |
| work_keys_str_mv | AT huarongzhao distributedmodelfreebipartiteconsensustrackingforunknownheterogeneousmultiagentsystemswithswitchingtopology AT lipeng distributedmodelfreebipartiteconsensustrackingforunknownheterogeneousmultiagentsystemswithswitchingtopology AT hongnianyu distributedmodelfreebipartiteconsensustrackingforunknownheterogeneousmultiagentsystemswithswitchingtopology |