Autonomous cruise control using neural networks in platooning

Authors: S.N. Huang; K.K. Tan; T.H. Lee

Source: Advanced Robotics, Volume 19, Number 2, 2005 , pp. 169-189(21)

Publisher: VSP, an imprint of Brill

Key:

- Free Content

- New Content

- Subscribed Content

- Free Trial Content

Abstract:

This paper presents a control algorithm for a platoon of vehicles. We employ the radial basis function neural networks (NNs) to approximate unknown vehicle dynamics. A direct adaptive method used to update the NN weights on-line is proposed. It is shown that the proposed controller is of the decentralized type and ensures platoon stability. The performance of the controller is illustrated by simulations.

Keywords: ADAPTIVE CONTROL; AUTOMATIC VEHICLE CONTROL; PLATOON; RADIAL BASIS FUNCTIONS

Document Type: Short communication

DOI: 10.1163/1568553053148646

The full text electronic article is available for purchase. You will be able to download the full text electronic article after payment.

$25.00 plus tax