In this paper, we consider a robust dynamic output feedback model predictive controller (MPC) design for linear parameter varying (LPV) systems. According to the proposed MPC algorithm, the control law is computed based on linear matrix inequality (LMI) at each sampling time by solving convex optimization problem. Also, a new parameter-dependent Lyapunov function is proposed to get a less conservative condition for stability of the system. The effectiveness of the result proposed is verified via a numerical example.
['Sang-Moon Lee', 'Ju H. Park']
Output feedback model predictive control for LPV systems using parameter-dependent Lyapunov function