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 …

Model Based Predictive Control (MBPC) is a class of computer algorithms that explicitly use
a process model to predict future plant outputs and compute an appropriate control action …

Model Based Predictive Control (MBPC) is a class of computer algorithms that explicitly use
a process model to predict future plant outputs and compute an appropriate control action …

This paper presents a software library developed to implement model predictive control
(MPC) strategies in real-time. By using MPC, an appropriate optimal control law is implicitly …

An algorithm, which uses on-line simulation and rule-based control, is proposed. The
algorithm is a Model Based Predictive Control (MBPC) type. The basic idea is the on-line …

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 …

Most predictive control algorithms, including the generalized predictive control (GPC), are
based on linear dynamics. Many processes are severely nonlinear and would require high …

The papers presents an implementation of the predictive state space control algorithm,
called Model Predictive Control (MPC). This control algorithm is verified on the Ball and …

Speci cally, this paper applies a state space formulation of Model Based Predictive Control
to ight control systems. It is a case study of an experimental transport aircraft controlled by a …

A unified generalized model-based predictive control (GMBPC) technique is presented. This
technique combines in an efficient way the key properties of several previous MBPC-like …