Managing supply and demand in the electricity grid is becoming more challenging due to
the increasing penetration of variable renewable energy sources. As significant end-use …

Building energy management has been recognized as of significant importance on
improving the overall system efficiency and reducing the greenhouse gas emission …

Abstract Model Predictive Control for room temperature control in buildings is an effective
approach to energy management in buildings. However, the development and maintenance …

Urban wastewater sector is being pushed to optimize processes in order to reduce energy
consumption without compromising its quality standards. Energy costs can represent a …

Abstract Model Predictive Control is a well consolidated technique to design optimal control
strategies, leveraging the capability of a mathematical model to predict a system's behavior …

This paper investigates the dynamic event-triggered L∞ control for switched affine systems
under limited communication resources. For switched affine systems, affine terms bring the …

Abstract Model predictive control (MPC) can provide significant energy cost savings in
building operations in the form of energy-efficient control with better occupant comfort, lower …

The problem of data‐driven control is addressed here in the context of switched affine
systems. This class of nonlinear systems is of particular importance when controlling many …

Complex civil engineering structural systems are prone to seismic induced vibrations during
which their inherent dynamical features are displayed often causing discrepancies with the …

The use of data-driven black-box HVAC and water heater models in the optimization of a
single-home residential microgrid is investigated. Data-driven models do not rely on the …