In this paper, we propose a method for synthesizing a model predictive control (MPC) law for linear parameter varying (LPV) systems. The proposed MPC algorithm is reduced to the optimization problem with linear matrix inequality (LMI) constraints that are derived by using the parameter dependent Lyapunov function (PDLF). The proposed control law achieves less conservative results as compared with the existing method. A numerical example is provided to illustrate effectiveness of the proposed method.
['N. Wada', 'K. Saito', 'Masami Saeki']
Model predictive control for linear parameter varying systems using parameter dependent Lyapunov function