Stabilization of Model-Based Uncertain Switched Continuous-Time Systems

In this paper, we construct a model-based networked control framework for uncertain switched linear systems. This structure can make the system have a certain robustness in the open-loop operation state. At the same time, an event triggered mechanism (ETM) is used for networked control to reduce the pressure of network communication. For a kind of switched linear systems with unmeasurable states, we design a sliding mode observer which the parameters can be obtained by using linear matrix inequality (LMI) techniques, it guarantees that the observer estimates the switched system states. After that, we propose a Lyapunov-based model predictive controller and give the average dwell time (ADT) to stabilize system. Finally, the result is verified by practical simulation and numerical simulation.