This paper proposes a deep reinforcement learning (DRL)-based algorithm in the path-
tracking controller of an unmanned vehicle to autonomously learn the path-tracking …

The unmanned ground vehicle (UGV) is developing towards miniaturization, lightweight and
intelligence. Path tracking and energy-saving control strategies are of great significance. In …

Investigation of chaotic behavior and adaptive type-2 fuzzy controller approach for Permanent
Magnet Synchronous Generator (PMSG Page 1 AIMS Mathematics, 8(3): 5670–5686. DOI …

Reliable path tracking control (PTC) method is essential for autonomous driving. However,
existing PTC methods count on prior vehicle parameters to achieve good performance. This …

This paper investigates the impact of tyre dynamics on autonomous vehicle dynamic control.
The commonly used 2 degrees of freedom bicycle model and a detailed vehicle model …

This article focuses on the security tracking control problem of nonlinear autonomous
ground vehicles (AGVs) under denial-of-service (DoS) attacks. In order to resist DoS attacks …

Substantial challenges still exist in designing path-tracking control systems for autonomous
vehicles, particularly at speed limits or under varying operating conditions. Such problems …

Autonomous driving technology, especially motion planning and the trajectory tracking
method, is the foundation of an intelligent interconnected vehicle, which needs to be …

As computer computing capabilities increase, optimization algorithms are becoming more
useful for solving engineering problems. Up to now, several metaheuristic algorithms have …

This paper presents a robust path tracking controller based on a model predictive control
(MPC) with steady-state inputs for disturbance compensation. A conventional MPC-based …