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Event-based model Predictive control for the cooperation of distributed agents

机译:基于事件的模型分布式代理协作的预测控制

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This paper proposes an event-based framework for the control of a team of cooperating distributed agents. The agents are dynamically decoupled and they are controlled locally by Nonlinear Model Predictive Controllers (NMPC). The event-driven framework allows for triggering the solution of the optimal control problem of the NMPC only when it is needed. The scheduling of the control updates for each of the agents depends on an error of the state information received from the neighboring agents. Sufficient conditions for triggering are provided and the results are illustrated through a simulated example.
机译:本文提出了一个基于事件的框架,用于控制协作的分布式代理团队。代理是动态解耦的,它们由非线性模型预测控制器(NMPC)进行本地控制。事件驱动框架仅在需要时才触发NMPC最佳控制问题的解决方案。每个代理的控制更新的调度取决于从相邻代理接收的状态信息的错误。提供了足够的触发条件,并通过一个仿真示例说明了结果。

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