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Abstract─ While linear model predictive control is popular since the 70s of the past century,
only since the 90s there is a steadily increasing interest from control theoreticians as well as …

In this document, we present the main ideas and results concerning high‐gain observers
and some of their applications in control. The introduction gives a brief history of the topic …

The purpose of this paper is twofold. In the first part, we give a review on the current state of
nonlinear model predictive control (NMPC). After a brief presentation of the basic principle of …

This paper deals with the robustness of Model Predictive Controllers for constrained
uncertain nonlinear systems. The uncertainty is assumed to be modeled by a state and input …

Model Predictive Control (MPC) is an area in rapid development with respect to both
theoretical and application aspects. The former petrochemical applications of MPC were …

An output-feedback approach to model predictive control that combines state estimation and
control into a single min–max optimization is introduced for discrete-time nonlinear systems …

This paper presents a nonlinear model predictive control scheme for stabilizing the well
pressure during oil well drilling. While drilling, a fluid is pumped through the drill string and …

The nonlinear model predictive control (NMPC) is an on-line application based on nonlinear
convolution models. It is an appealing control methodology, but it is difficult to implement …

We introduce an output-feedback approach to model predictive control that combines state
estimation and control into a single min-max optimization. Under appropriate assumptions …