Networked microgrids (NMGs) provide a promising solution for accommodating various
distributed energy resources (DERs) and enhancing the system performance in terms of …

The increasing integration of the distributed renewable energy sources highlights the
requirement to design various control strategies for microgrids (MGs) and microgrid clusters …

An autonomous vehicle sideslip angle estimation algorithm is proposed based on
consensus and vehicle kinematics/dynamics synthesis. Based on the velocity error …

Considering that human-driven vehicles and autonomous vehicles (AVs) will coexist on
roads in the future for a long time, how to merge AVs into human drivers' traffic ecology and …

The last decade witnessed a great development of automated driving vehicles (ADVs) and
vehicle intelligence. The significant increment of machine intelligence poses a new …

With more and more stringent requirements on driving comfort, safety and fuel economy,
polytopic LPV approaches have become popular in intelligent automotive control systems …

Supervised learning approaches are widely used for driving style classification; however,
they often require a large amount of labeled training data, which is usually scarce in a real …

Distraction, misjudgement and driving mistakes can significantly affect a driver, resulting in
an increased risk of accidents. There are diverse factors that can cause mistakes in driving …

Shared control schemes allow a human driver to work with an automated driving agent in
driver-vehicle systems while retaining the driverʼ s abilities to control. The human driver, as …

This paper presents a novel shared control concept for lane keeping assist (LKA) systems of
intelligent vehicles. The core idea is to combine system perception with robust control so that …