A linear quadratic model predictive controller (MPC) can be written as a parametric
quadratic optimization problem whose solution is a piecewise affine (PWA) map from the …

Model predictive control (MPC) is usually implemented as a control strategy where the
system outputs are controlled within specified zones, instead of fixed set points. One strategy …

A novel and easy-to-use robust tuning strategy for model predictive control (MPC) is
presented. The proposed strategy based on min-max algorithm can deal with model …

This paper presents a method for enlarging the domain of attraction of nonlinear model
predictive control (MPC). The usual way of guaranteeing stability of nonlinear MPC is to add …

In this note, an efficient way of implementing a constrained min-max predictive controller is
presented. The new approach modifies the objective function in such a way that the resulting …

We propose and analyze a stabilizing iteration scheme for the algorithmic implementation of
model predictive control for linear discrete-time systems subject to polytopic input and state …

High-speed applications impose a hard real-time constraint on the solution of a model
predictive control (MPC) problem, which generally prevents the computation of the optimal …

Abstract Model Predictive Control (MPC) is increasingly being proposed for application to
miniaturized devices, fast and/or embedded systems. A major obstacle to this is its …

Model predictive control (MPC) is an acclaimed method for the control of constrained
systems. Since a constrained optimization problem has to be solved in every time step, the …

Application of constrained Model Predictive Control (MPC) to systems with fast dynamics is
limited by the time consuming iterative optimization solvers. This paper proposes a fast and …