Model reference adaptive control for switched LPV systems and its application

In this study, the problem of model reference adaptive control (MRAC) for switched linear parameter‐varying (LPV) systems with parametric uncertainties is investigated. First, a switched LPV controller with the adaptive laws is designed. Then, the proposed LPV controller with the adaptive laws guarantees that all the closed‐loop system signals remain bounded under a class of switching signals with average dwell time, and the state tracking error converges to a small ball centred at the origin whose radius can be made arbitrarily small by appropriately choosing the design parameters. Finally, a practical example about MRAC for a turbofan‐engine is given to demonstrate the validity of the main results.