Dynamic Event-Triggered Estimation Control of Markovian Switching Systems Applied to DC-DC Converters

This paper proposes a new reformulation of the dynamic event-triggered estimation control approach. Based on state observer and via Linear Matrix Inequalities, a DC-DC switching power converters is investigated as discrete-time Markovian switching systems with modelling uncertainties, disturbances and time-delay. An event-triggered control law is implemented to enhance the dynamic of Buck DC-DC converters during the transient response of the voltage. Besides, the stability objective is guaranteed by the use of terminal equality constraints; in particular, to maintain a robust performance against load variation and time-delay. The obtained results show the efficiency of the proposed approach applied to buck DC-DC power converter.