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Consensus protocol based on distributed model predictive control for first-order multi-agent systems

机译:一阶多智能体系统基于分布式模型预测控制的共识协议

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In this paper, we propose a new consensus protocol in the form of distributed model predictive control (DMPC) in order to deal with the consensus problem of first-order discrete-time multi-agent systems. Equivalent form of general numerical solution of DMPC is presented by solving optimization problem, and necessary and sufficient convergence conditions of our proposed DMPC are obtained by using the algebra and matrix theories. New protocol with equivalent solution is beneficial to the theoretical analysis and avoids the highly computing cost. Numerical simulations demonstrate the effectiveness of theoretical results.
机译:为了解决一阶离散时间多智能体系统的共识问题,本文以分布式模型预测控制(DMPC)的形式提出了一种新的共识协议。通过求解优化问题,给出了DMPC一般数值解的等价形式,并利用代数和矩阵理论获得了本文提出的DMPC的充要条件。具有等效解决方案的新协议有利于理论分析,避免了高昂的计算成本。数值模拟证明了理论结果的有效性。

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