Stability analysis of time-varying sampling systems with scheduling dependent probabilistic bound information

This paper is concerned with a networked control system whose sampling time is time-varying. It is assumed that probabilisitic information of the sampling time variation is known. By explicitly using the probabilistic information, a less conservative stability condition is derived. The stability condition is based on stability conditions of Markov jump linear systems. Through a simulation, it is shown that the proposed method is less conservative than existing stability conditions.