The smart electricity grid enables a two-way flow of power and data between suppliers and
consumers in order to facilitate the power flow optimization in terms of economic efficiency …

Modern control methods such as Model Predictive Control (MPC) are getting popular in
recent years in many fields of industry. One of the branches that have witnessed great …

Predictive control in buildings has undergone an intensive research in the past years. Model
identification plays a central role in a predictive control approach. This paper presents a …

According to numerous studies, up to 40% of the total energy is consumed in the building
sector. Energy reduction in this sector by means of cost-effective and scalable approaches …

A multiobjective optimisation engineering design (MOED) methodology for PI controller
tuning in multivariable processes is presented. The MOED procedure is a natural approach …

This work focuses on obtaining models that may produce a better performance of Model
Predictive Controllers-MPC. Several papers published in the last 25 years have proposed …

In buildings with hybrid ventilation, natural ventilation opening positions (windows),
mechanical ventilation rates, heating, and cooling are manipulated to maintain desired …

The visual servoing architectures with an eye-in-hand configuration, composed of a 6-dof
manipulator robot and a video camera, are categorised as high-coupled and nonlinear …

The linear model predictive control which is frequently used for building climate control
benefits from the fact that the resulting optimization task is convex (thus easily and quickly …

In this paper, a generalized predictive control (GPC) scheme under a dynamic partial least
squares (PLS) framework is proposed. At the modeling stage, a model predictive control …