Electrical load forecasting plays a vital role in order to achieve the concept of next
generation power system such as smart grid, efficient energy management and better power …

CONTROLLER design is more troublesome in aerospace systems due to, inter alia, diversity
of mission platforms, convoluted nonlinear dynamics, predominantly strict mission and …

Today's control engineering problems exhibit an unprecedented complexity, with examples
including the reliable integration of renewable energy sources into power grids, safe …

Model predictive control (MPC) has been widely researched for automotive control.
However, the real-world application of MPC for autonomous vehicles (AV) is still limited due …

Being a primary contributor to global energy consumption and energy-related carbon
emissions, the building and building construction sectors are a crucial player in the …

This article presents a resilient model predictive control (MPC) framework to attenuate
adverse effects of denial-of-service (DoS) attacks for cyber-physical systems (CPSs), where …

A supervised learning framework is proposed to approximate a model predictive controller
(MPC) with reduced computational complexity and guarantees on stability and constraint …

This paper studies the distributed dynamic event-triggered model predictive control (MPC) of
vehicle platoon systems subject to denial-of-service (DoS) attacks and external …

This article proposes an energy management system (EMS) for a fuel cell (FC) hybrid
electric vehicle. The EMS is based on nonlinear model predictive control (NMPC) and …

Sustainable energy sources are promising solutions for reducing carbon footprint and
environmental impacts within the building sectors. Reducing energy consumption while …