In practical model predictive control (MPC) implementations, constraints on the states are typically softened to ensure feasibility despite unmodeled disturbances. In this work, we propose a soft ...

Model Predictive Control (MPC) algorithms are computationally intensive optimization based control techniques. Their complexity significantly increases when the cost function prediction horizon ...