Distributed Optimization for a Class of Nonlinear Multiagent Systems With Disturbance Rejection
The paper studies the distributed optimization problem for a class of nonlinear multiagent systems in the presence of external disturbances. To solve the problem, we need to achieve the optimal multiagent consensus based on local cost function information and neighboring information and meanwhile to...
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| Veröffentlicht in: | IEEE transactions on cybernetics 2016-07, Vol.46 (7), p.1655-1666 |
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| container_end_page | 1666 |
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| container_issue | 7 |
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| container_title | IEEE transactions on cybernetics |
| container_volume | 46 |
| creator | Wang, Xinghu Hong, Yiguang Ji, Haibo |
| description | The paper studies the distributed optimization problem for a class of nonlinear multiagent systems in the presence of external disturbances. To solve the problem, we need to achieve the optimal multiagent consensus based on local cost function information and neighboring information and meanwhile to reject local disturbance signals modeled by an exogenous system. With convex analysis and the internal model approach, we propose a distributed optimization controller for heterogeneous and nonlinear agents in the form of continuous-time minimum-phase systems with unity relative degree. We prove that the proposed design can solve the exact optimization problem with rejecting disturbances. |
| doi_str_mv | 10.1109/TCYB.2015.2453167 |
| format | Article |
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| ispartof | IEEE transactions on cybernetics, 2016-07, Vol.46 (7), p.1655-1666 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Closed loop systems Convergence Cost function Cybernetics Decentralized control Design engineering Design optimization Distributed optimization disturbance rejection Disturbances internal model (IM) Multi-agent systems Multiagent systems nonlinear systems Nonlinearity Optimization Unity |
| title | Distributed Optimization for a Class of Nonlinear Multiagent Systems With Disturbance Rejection |
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