Please use this identifier to cite or link to this item: https://doi.org/10.1163/1568553053148646
Title: Autonomous cruise control using neural networks in platooning
Authors: Huang, S.N. 
Tan, K.K. 
Lee, T.H. 
Keywords: Adaptive control
Automatic vehicle control
Platoon
Radial basis functions
Issue Date: 2005
Source: Huang, S.N., Tan, K.K., Lee, T.H. (2005). Autonomous cruise control using neural networks in platooning. Advanced Robotics 19 (2) : 169-189. ScholarBank@NUS Repository. https://doi.org/10.1163/1568553053148646
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. © VSP and Robotics Society of Japan 2005.
Source Title: Advanced Robotics
URI: http://scholarbank.nus.edu.sg/handle/10635/55174
ISSN: 01691864
DOI: 10.1163/1568553053148646
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