Motivated by explicit model predictive control, we address infeasibility in multi-parametric
quadratic programming according to the exact penalty function approach, where some user-…

… Consequences of infeasibility … 156 8.4 What causes infeasibility in predictive control? … and
Toeplitz matrices for prediction is that the multivariable case can be handled with no increase …

… may degrade the control performance significantly, even lead to infeasibility and instability
… of predictable disturbance while being able to handle possible sudden changes outside the …

… infeasibility at every sampling instant represents another critical issue in model predictive
control … Hence, the formulation of soft constraints has become common to handle state output …

In this paper, we propose a real-time nonlinear model predictive control (NMPC) strategy for
stabilization of a vehicle near the limit of lateral acceleration using the rear axle electric …

… Predictive Control (MPC) is widely known as an advanced control technique for nonlinear
systems that can handle … to introduce an additional assumption on the reference infeasibility. …

… control scheme reverting to a backup solution from a previous time step in case of infeasibility
… sured state x(k), which we handle by choosing a suitable backup initialization. The concept …

… avoidance constraint and a mixed integer predictive control (MIPC) method for space
robots … (QP) problem by using the model predictive control (MPC) method. To guarantee the …

… control problem (OCP) at every sampling instant. MPC is used widely in applications since
it can efficiently handle … Another technique for avoiding infeasibility is to treat aspects of the …

… handle the robot constraints in online planning and control … by the use of Model Predictive
Control (MPC) techniques, which … the viable set, infeasibility of the control problem will surely …