摘要：AbstractThis paper addresses the design of sparse, H2-optimized dynamic output feedback controllers for distributed systems. These systems consist of several physically remote subsystems, which are assumed to be controlled via local controllers. Depending on the topology of a communication network, subsets of these controllers may exchange information. In this setting, a trade-off between control performance and communication costs exists: while a network which connects more controllers increases control performance, establishing communication links also causes higher costs. In the past, the Alternating Direction Method of Multipliers (ADMM) has been applied to the design of state feedback controllers that optimize this trade-off. Due to the practical relevance of output feedback, this paper provides extensions necessary for application of the ADMM to the output feedback case. Motivated by deeper insights into the non-convex, non-smooth nature of the problem, the HANSO optimization package is applied to the controller performance optimization subproblem of the ADMM. The devised procedure is successfully applied to two example systems.
关键词：KeywordsDistributed ControlDecentralized ControlDynamic Output FeedbackADMMOptimal Control
