Model predictive control is the family of controllers, makes the explicit use of model to obtain control signal. The reason for its popularity in industry and academia is its capability of operating without expert intervention for long periods. There are various control design methods based on model predictive control concepts. This paper provides review of the most commonly used methods that h...

This paper proposes a discrete-time adaptive model predictive control (MPC) algorithm for a class of constrained linear time-invariant systems, which updates the estimation of system parameters on-line and produces the control input subject to the given input/state constraints. This method is based on a robust MPC algorithm using comparison model which enable us to estimate the prediction error...

this paper presents a simple model predictive control (mpc) approach to control the power injection system (pis) for renewable energy applications. a dc voltage source and a single-phase inverter that is connected to the grid by an lcl filter form the pis. grid voltage is considered a disturbance for the system. for eliminating this disturbance, a modified model is proposed. it is usual to cont...