Distributed Optimization Design of Continuous-Time Multiagent Systems With Unknown-Frequency Disturbances
In this paper, a distributed optimization problem is studied for continuous-time multiagent systems with unknown-frequency disturbances. A distributed gradient-based control is proposed for the agents to achieve the optimal consensus with estimating unknown frequencies and rejecting the bounded dist...
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| Veröffentlicht in: | IEEE transactions on cybernetics 2017-08, Vol.47 (8), p.2058-2066 |
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| container_title | IEEE transactions on cybernetics |
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| creator | Wang, Xinghu Hong, Yiguang Yi, Peng Ji, Haibo Kang, Yu |
| description | In this paper, a distributed optimization problem is studied for continuous-time multiagent systems with unknown-frequency disturbances. A distributed gradient-based control is proposed for the agents to achieve the optimal consensus with estimating unknown frequencies and rejecting the bounded disturbance in the semi-global sense. Based on convex optimization analysis and adaptive internal model approach, the exact optimization solution can be obtained for the multiagent system disturbed by exogenous disturbances with uncertain parameters. |
| doi_str_mv | 10.1109/TCYB.2017.2703945 |
| format | Article |
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| issn | 2168-2267 2168-2275 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Adaptive internal model Algorithm design and analysis Convergence Convexity Cost function Design optimization distributed optimization Disturbances Frequency estimation Heuristic algorithms Multi-agent systems Multiagent systems Parameter uncertainty unknown-frequency disturbance |
| title | Distributed Optimization Design of Continuous-Time Multiagent Systems With Unknown-Frequency Disturbances |
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