This paper presents a model predictive control scheme based on nonlinear state space
models. The considered class of systems is supposed to be separable into a linear part and …

This paper presents some applications of a Model Based Predictive Control (MBPC) type
algorithm which is applied to nonlinear processes. The basic idea of the algorithm is the on …

A fairly transparent approach to multivariable predictive control is presented and compared
to the traditional multivariable predictive control strategy. The main difference between the …

Although predictive control has shown to be very successful, both in theory and practice,
general stability can not be guaranteed. In this paper a new algorithm is proposed, which …

In this paper, 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 …

This paper discusses the application of a constraint-based model predictive control (MPC) to
mobile manipulation tracking problems. The problem has been formulated so as to …

Predictive controllers allow for systematic inclusion of constraints. However, the associated
quadratic programming problem is computationally burdensome especially when large …

In this paper two predictive controllers for non-linear systems are presented. Both methods—
ELPC and MELPC—are based on a local linearisation of the process at each sampling …

Abstract Model Predictive Control (MPC) is an optimization-based control technique that has
received an increasing research interest and has been widely applied in industry. Similarly …

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 …