Stability and Performance of Networked Control Systems with Time-multiplexed Sensors and Oversampled Observer

Abstract

In this paper we analyze the scenario where a set of wireless sensors are time-multiplexed in order to reduce the traffic load and energy consumption in a Networked Control System. The possible choices for scheduling the transmission of measures are explored under the concept of periodic feedback patterns, i.e. repeated sequences of different measures. The length and structure of such patterns are chosen to guarantee stability of the closed loop and to minimize a predefined performance index. The control scheme is enhanced with a controller-side observer running at a rate higher than the sampling rate, for which a novel stability problem is stated and solved.