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Hierarchical distributed model predictive control based on fuzzy negotiation

机译:基于模糊谈判的分布式模型预测控制

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This work presents a hierarchical distributed model predictive control approach for multiple agents with cooperative negotiations based on fuzzy inference. Specifically, a fuzzy-based two-layer control architecture is proposed. In the lower control layer, there are pairwise negotiations between agents according to the couplings and the communication network. The resulting pairwise control sequences are sent to a coordinator in the upper control layer, which merges them to compute the final ones. Furthermore, conditions to guarantee feasibility and stability in the closed-loop system are provided. The proposed control algorithm has been tested on an eightcoupled tank plant via simulation.
机译:该工作提出了一种基于模糊推断的合作谈判的多个代理的分布式模型预测控制方法。 具体地,提出了一种基于模糊的双层控制架构。 在较低的控制层中,根据耦合和通信网络在代理之间进行成对谈判。 得到的成对控制序列被发送到上控制层中的协调器,其合并它们以计算最终的控制层。 此外,提供了保证闭环系统中可行性和稳定性的条件。 所提出的控制算法通过仿真在八绕燃料罐设备上进行了测试。

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