This work provides a comparative review of three different numerical methods generally
used to discretize continuous-time non-linear equations appearing in model predictive …

This paper presents the double-layered nonlinear model predictive control method for a
continuously stirred tank reactor and a pH neutralization process that are subject to input …

The aim of this document is to present an efficient and systematic method of model‐based
predictive control synthesis. Model predictive control requires using a model of a dynamical …

In this article we present a real-time path-planning algorithm that can be used to generate
optimal and feasible paths for any kind of unmanned vehicle (UV). The proposed algorithm …

This study aims to aid understanding of Model Predictive Control (MPC) alternatives through
comparing most interesting MPC implementations. This comparison will be performed …

This paper proposes a tube-based model predictive control strategy for linear systems with
bounded disturbances and input delay to ensure input-to-state stability. Firstly, the actual …

This paper develops a novel observer‐based robust tracking predictive controller for
discrete‐time nonlinear affine systems capable of dealing with changing setpoints and non …

Robust Model Predictive Control (MPC) for nonlinear systems is a problem that poses
significant challenges as highlighted by the diversity of approaches proposed in the last …

An approach to low complexity distributed MPC of nonlinear interconnected systems with
coupled dynamics subject to both state and input constraints is proposed. It is based on the …

The paper presents a low complexity nonlinear MPC design for the class of constrained
input-affine systems. Essentially, it builds on the idea of adding a contractive constraint in the …