Robust Output Feedback MPC for LPV Systems Using Interval Observers

This article addresses the problem of robust output feedback model predictive control for discrete-time, constrained, linear parameter-varying systems subject to (bounded) state and measurement disturbances. The vector scheduling parameters is assumed be an unmeasurable signal taking values in a given compact set. proposed controller incorporates interval observer, that uses available update set-membership estimation states, predictor, used prediction step (MPC) algorithm. resulting MPC scheme offers guarantees on recursive feasibility, constraint satisfaction, input-to-state stability terminal Furthermore, this novel algorithm shows low computation complexity ease implementation (similar conventional schemes).