Design of Dynamic Feedback Gain Based on Estimate of Data Dropout Rate in Networked Control Systems

Recently, a high-speed communication network is rapidly developing. It is expected that the realization of networked control systems using the network infrastructure. In the networked control systems, data dropouts, which are occurred due to link failure and data collision, cause degradation of control performance, especially stability. In this paper, the networked control systems which have outward (plant to controller) and return (controller to plant) communication channels are considered. At first, in this paper, an estimation method of unknown and time-varying data dropout rate in the channel is developed. Next, feedback gain is dynamically adapted depending on the estimated dropout rate. Finally, the usefulness of the proposed method is demonstrated through some numerical examples.