A strategy that calculates an explicit state feedback policy to regulate constrained uncertain discrete-time linear systems is presented. We consider processes, affected by box-bounded multiplicative uncertainty as well bounded additive with and inputs constraints. The proposed method includes (i) the calculation of a terminal set constraint (ii) robust reformulation constraints in prediction h...

The field of autonomous driving vehicles is growing and expanding rapidly. However, the control systems for still pose challenges, since vehicle speed steering angle are always subject to strict constraints in dynamics. optimal action angular velocity can be obtained from online objective function, dynamic vehicle’s physical limitations, environmental conditions, surrounding obstacles. This pap...

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 ...

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 ...