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

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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

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