Control design based on limited plant model information with applications to power systems
Abstract:
Distributed control in large-scale systems is based on partial state information of the overall system. In the design of local control laws, it is often reasonably to assume that only limited model information of the plant dynamics is available. In this talk, we will introduce a family of limited model information control design methods, which give controllers by accessing the plant's model in a constrained way according to a given design graph. We investigate the achievable closed-loop performance of discrete-time linear time-invariant plants under a quadratic cost performance. For certain cases, bounds can be given on how far the closed-loop performance for control systems based on limited model information is from the optimal design with full model information. The considered problem will be motivated from some recent work on power systems within the Royal Seaport Project in Stockholm. The presentation is mainly based on joint work with Farhad Farokhi and Cedric Langbort.