This paper presents a review on the development and application of model predictive
control (MPC) for autonomous intelligent mechatronic systems (AIMS). Starting from the …

We show that artificial neural networks with rectifier units as activation functions can exactly
represent the piecewise affine function that results from the formulation of model predictive …

Cryptographic hash functions are widely used primitives with a purpose to ensure the
integrity of data. Hash functions are also utilized in conjunction with digital signatures to …

To comply with the effluent standards and growing demands for safety and reliability, the
operation of wastewater treatment processes (WWTPs) has been considered as a …

By simultaneously utilizing preview and global road information, a comfort optimization
strategy which combines vehicle speed planning and preview semi-active suspension …

Resonant power converters offer improved levels of efficiency and power density. In order to
implement such systems, advanced control techniques are required to take the most of the …

Dealing with uncertainties is one of the most challenging issues that prevent nonlinear
model predictive control (NMPC) from being a widespread reality. Many different robust …

Solving nonlinear model predictive control problems in real time is still an important
challenge despite of recent advances in computing hardware, optimization algorithms and …

In this article, we present an implementation of a low-memory footprint model predictive
control (MPC)-based controller in programmable logic controllers (PLCs). Automatic code …

This article studies the problem of localization and tracking of a mobile target ship with an
autonomous underwater vehicle (AUV). A hybrid acoustic-optical underwater …