Event-Triggered Model Predictive Control of Distributed Network Systems with Switching Topologies

抄録

A distributed network system is a dynamical system in which multiple subsystems are connected through a physical/ communication network. There are many applications such as power systems. In this paper, we propose a method of event-triggered model predictive control for distributed network systems with switching topologies. In the proposed method, each subsystem is controlled by state-feedback using its state and the state of neighbors. Its gain is calculated by the upper controller (supervisor), only when a certain event-triggering condition is satisfied. The design problem of state-feedback gains is reduced to an LMI (linear matrix inequality) optimization problem. Finally, the proposed method is demonstrated by two numerical examples.