Autonomous vehicles can reduce labor power during cargo transportation, and then improve
transportation efficiency, for example, the automated guided vehicle (AGV) in the warehouse …

Water distribution systems (WDSs) are inherently complex due to the interconnected
hydraulic components. Model predictive control (MPC) offers a sophisticated approach to …

In this paper, a disturbance rejection model predictive control (MPC) framework is
developed for the path-following task of unmanned ground vehicles (UGVs) with curvature …

Enhancing the safety of passengers by venturing beyond the limits of a human driver is one
of the main ideas behind autonomous vehicles. While drifting is mostly witnessed in …

Model predictive control (MPC) is a closed-loop optimization framework that can solve the
real-time control challenges of inverter-based distributed energy resources (DERs) in smart …

This paper aims to report on novel research results about developing a reinforcement
learning agent for steady-state vehicle drift motion control. Based on the previous results of …

Model predictive control (MPC) is an advanced optimization framework used in a closed-
loop system to manage distributed energy resources (DERs). This study explores adaptive …

This article is concerned with the robust model predictive control (RMPC) problem for
polytopic uncertain systems under the round-robin (RR) scheduling in the high-rate …

This technical paper investigates and compares the performance of two model predictive
control algorithms employed in the control of a ground vehicle. Both predictive controllers …