论文标题
分布式模型预测控制的基于期望最大化的防御机制
Expectation-Maximization Based Defense Mechanism for Distributed Model Predictive Control
论文作者
论文摘要
控制大规模系统有时需要分散计算。代理之间的交流对于达成共识和最佳全球行为至关重要。这些谈判机制对对这些交流的攻击很敏感。本文提出了一种基于期望最大化的算法，以减轻基于资源分配的分布式模型预测控制中攻击的影响。通过在输入功率限制下的多个房间的温度控制的学术示例来评估性能。
Controlling large-scale systems sometimes requires decentralized computation. Communication among agents is crucial to achieving consensus and optimal global behavior. These negotiation mechanisms are sensitive to attacks on those exchanges. This paper proposes an algorithm based on Expectation Maximization to mitigate the effects of attacks in a resource allocation based distributed model predictive control. The performance is assessed through an academic example of the temperature control of multiple rooms under input power constraints.
