Observer-based state feedback stabilization of high-order switched systems with sampled-output-data and inter-sample output predictors

Observer-based state feedback stabilization of high-order switched systems is addressed with sampled-output-data and inter-sample output predictors. Output signals are sampled and transmitted aperiodically according to a deliberately developed dynamic event-triggered mechanism. To enable systematically designed reduced-order switched observers to function within a continuous-time framework for estimating unmeasurable states, inter-sample output predictors are intentionally employed. These predictors utilize sampled output data to reconstruct the continuous-time evolution of the output signal, thereby effectively filling the gaps between sampling instants. Then, state feedback stabilization of the resultant closed-loop switched systems can be achieved. The proposed approach is a hybrid one, which leverages the benefits of both continuous-time observer design and discrete sampling. At last, simulations are presented to show the validity of the proposed method in this paper, which can not only reduce the number of samplings significantly but also improve system performance slightly.