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• W2895894648 abstract "This paper proposes an event-triggered distributed receding horizon control (DRHC) approach for the formation and tracking problems of homogeneous multi-agent systems. For each agent, an event-triggering condition, based on assumed predictive information of the neighbours, is derived from stability analysis. Considering the uncertain deviation between the assumed and true predictive information, we design a time-varying compatibility constraint for the individual optimization problem. In the event-triggered DRHC algorithm, each agent solves the optimization problem and communicates with its neighbours only when the event-triggering condition is satisfied, so the communication and computation burden are reduced. Moreover, guarantees for the recursive feasibility and asymptotic stability of the overall system are proved. A simulation example is provided to illustrate effectiveness of the proposed approach." @default.
• W2895894648 created "2018-10-26" @default.
• W2895894648 creator A5011141557 @default.
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• W2895894648 date "2019-02-01" @default.
• W2895894648 modified "2023-10-01" @default.
• W2895894648 title "Event-triggered distributed receding horizon control for tracking and formation of homogeneous multi-agent systems" @default.
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• W2895894648 doi "https://doi.org/10.1016/j.isatra.2018.08.019" @default.
• W2895894648 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30392723" @default.
• W2895894648 hasPublicationYear "2019" @default.
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