Model and Data Fusion Control of Switched Systems

This paper investigates the model and data fusion control of switched systems. First, a novel hybrid dynamic control framework is established by introducing model-dependent switched subsystems and data-driven switched subsystems. By using linear matrix inequalities, two classes of controllers are constructed for the two classes of subsystems based on model- and data-dependent control strategies, respectively. Then, observer-based control is proposed for the considered systems. Finally, the effectiveness of the proposed design is verified via one example.