In this review paper, the integration of Machine Learning (ML) and Model Predictive Control
(MPC) in Automotive Control System (ACS) applications are discussed. ACS can be divided …

Legged locomotion holds the premise of universal mobility, a critical capability for many real-
world robotic applications. Both model-based and learning-based approaches have …

Recently, emerging technologies have assisted the healthcare system in the treatment of a
wide range of diseases so considerably that the development of such methods has been …

This two-part paper presents a review of the predictive control techniques applied in
switched reluctance machine (SRM) drives. The objective is to promote the applications of …

Abstract Model predictive control allows to provide high performance and safety guarantees
in the form of constraint satisfaction. These properties, however, can be satisfied only if the …

This article addresses the problem of stabilization of dc–dc converters feeding constant
power loads (CPLs). An explicit model predictive control is developed based on an average …

The rapid growth of electrification, automation and connectivity in the transport industries
puts forward higher requirements on control strategies to improve energy efficiency, traffic …

In this study, a hierarchical energy management system (EMS) is proposed, to coordinate
different energy sources in an islanded multi-good microgrid. The first layer deals with the …

Air conditioners (ACs) are an important resource for demand-response (DR) services in
electricity networks and have motivated much research activity in recent years. Existing …

Abstract Space heating accounts for a significant share of a building's energy use; moreover,
occupants' desires for better thermal comfort may further increase the energy use and peak …