Output feedback stabilization for networked control systems with random sampling periods

This paper studies output feedback stabilization of networked control systems (NCSs) with random delays and random sampling periods. Sampling periods can random switch in three cases according to the high, low and medium three types of network load. The sensor-to-controller (S-C) random delays, controller-to-actuator (C-A) random delays and random sampling periods are modeled as three different Markov chains, respectively. A three-mode-dependent output feedback controller is designed, which depends on not only the current S-C delay but also the most recent available sampling period and the most recent available C-A delay at the controller node. An example is given to illustrate the effectiveness of the result.