Performance of Model-Based Networked Control Systems with discrete-time plants

In this paper we study performance-related aspects for plants in a networked control setting, employing an approach known as model-based networked control systems (MB-NCS) with intermittent feedback. Model-based networked control systems use an explicit model of the plant in order to reduce the network traffic while attempting to prevent excessive performance degradation. Intermittent feedback consists of the loop remaining closed for some time interval, then open for another interval. We begin by investigating the behavior of the system while tracking a reference input. We provide the full response of the system and a condition for stability. We then shift our attention to controller design for MB-NCS. We use dynamic programming techniques to design an optimal controller to optimize an LQ-like performance index.