This paper proposes a robust control based on the integral backstepping control (IBC) for
power quality enhancement of micro-grid-connected photovoltaic (PV) system with battery …

Path planning and tracking control is an essential part of autonomous vehicle research. In
terms of path planning, the artificial potential field (APF) algorithm has attracted much …

The latest electric vehicles (EVs) are becoming increasingly complex and resource-intensive
owing to their advanced functional capabilities and autonomy. In this study, EVs are …

This paper presents a sliding mode-based adaptive fault detection and emergency control
algorithm for implementation in fail-safe systems of autonomous vehicles. The overall …

In this paper, we propose a robust arbitrary-time path tracking control using reduced order
kinematic model for the unmanned ground vehicle. The proposed method consists of the …

This paper proposes a neural network approach adaptive super-twisting sliding mode
control algorithm for autonomous vehicles. An adaptive and robust control algorithm in …

As the bottom layer of the autonomous vehicle, path tracking control is a crucial element that
provides accurate control command to the X-by-wire chassis and guarantees the vehicle …

Energy balancing in smart microgrid plays a vital role to improve the reliability and resolves
the load shedding problem to ensure consistent energy supply. However, energy balancing …

Autonomous ground vehicles (AGVs) operating in complex environments face the challenge
of accurately following desired paths while accounting for uncertainties, external …

Purpose-This study aims to propose a novel subjective assessment (SA) method for level 2
or level 21 advanced driver assistance system (ADAS) with a customized case study in …