A Tracking Model Predictive Control for Input-Output LPV Systems using Parameter Extrapolation

This paper presents a novel Model Predictive Control (MPC) algorithm for Linear Parameter Varying (LPV) systems represented in the Input-Output (IO) form. The proposed MPC is derived using estimates future scheduling parameter trajectory, made viable through recursive Taylor-based extrapolation law. method also includes explicit integral action, which, coupled with quadratic terminal ingredients, enables offset-free reference tracking and asymptotic IO stability. A numeric benchmark example used to illustrate advantages of method, as well its real-time capabilities.