论文标题
有限线性系统集的minimax自适应控制器的分布式实现
Distributed Implementation of Minimax Adaptive Controller For Finite Set of Linear Systems
论文作者
论文摘要
本文介绍了通过有限的线性模型建模的网络动力系统的minimax自适应控制算法的分布式实现。为了对冲网络中每个节点中可能的动态数量有限的不确定性，它仅收集其相邻节点的历史数据，以决定其边缘的控制动作。这使我们提出的分布式方法可扩展。数值模拟表明，一旦每个节点都充分估计了不确定的参数，分布式的minimax自适应控制器的行为就像是在事后看来的最佳分布式H-Infinity Controller一样。
This paper deals with a distributed implementation of minimax adaptive control algorithm for networked dynamical systems modeled by a finite set of linear models. To hedge against the uncertainty arising out of finite number of possible dynamics in each node in the network, it collects only the historical data of its neighboring nodes to decide its control action along its edges. This makes our proposed distributed approach scalable. Numerical simulations demonstrate that once each node has sufficiently estimated the uncertain parameters, the distributed minimax adaptive controller behaves like the optimal distributed H-infinity controller in hindsight.
