Abstract Model-based predictive control (MPC) describes a set of advanced control
methods, which make use of a process model to predict the future behavior of the controlled …

Manufacturing enterprises are facing the need to align themselves to the new information
technologies (IT) and respond to the new challenges of variable market demand. One of the …

Reliable and efficient trajectory generation methods are a fundamental need for
autonomous dynamical systems. The goal of this article is to provide a comprehensive …

It has been proven that advanced building control, like model predictive control (MPC), can
notably reduce the energy use and mitigate greenhouse gas emissions. However, despite …

Abstract The concept of Smart Buildings was introduced by the Energy Performance
Building Directive, with the aim to promote energy flexibility, renewable energy production …

With the rapid advancement of the high-performance computing technology and the
increasing availability of the mass-storage memory device, the application of the data-driven …

In the last few years, the application of Model Predictive Control (MPC) for energy
management in buildings has received significant attention from the research community …

This paper is an introductory tutorial for numerical trajectory optimization with a focus on
direct collocation methods. These methods are relatively simple to understand and …

Heating, ventilation, and air conditioning (HVAC) are extremely energy consuming,
accounting for 40% of total building energy consumption. It is crucial to design some energy …

Buildings account for nearly 40% of the total energy consumption in the United States, about
half of which is used by the HVAC (heating, ventilation, and air conditioning) system …