This paper proposes the Koopman operator-based model identification and control method
for a lane-keeping system. The Koopman operator is a linear mapping that can capture …

This article proposes a lateral vehicle trajectory planning and control algorithm using a
model predictive control (MPC) scheme for an automated perpendicular parking system …

To solve nonlinear optimization problems under multiple set constraints, a modified gradient
projection neural network (MGPNN) is proposed and investigated. Different from existing …

This article aims to develop a robust model predictive control (MPC) scheme for the
trajectory tracking control of autonomous underwater vehicles (AUVs) subject to bounded …

This article proposes a generalized hybrid method (GHM) for permanent magnet
synchronous motors that leverages the advantages of field-oriented control (FOC) in steady …

Human-machine shared control is a necessary transitional stage from manual to fully
autonomous driving. A novel game-theoretic shared control strategy is proposed to ensure …

In this article, tube-based model predictive control (MPC) is investigated for a linear
parameter-varying (LPV) system with external disturbances. The LPV system comes from an …

The resolution of traffic congestion and personal safety issues holds paramount importance
for human's life. The ability of an autonomous driving system to navigate complex road …

This paper presents a novel approach to improving autonomous vehicle control in
environments lacking clear road markings by integrating a diffusion-based motion predictor …

Subspace predictive control (SPC) is a widely utilized data-driven control technique in
various industrial applications. However, its static nature restricts its ability to effectively track …