@inproceedings{d8c1daa9477f43e3a68c229280793b10,
title = "Longitudinal control of platoon for electric vehicle using adaptive neural networks",
abstract = "in AHS(Automated Highway Systems) project which is one of the ITS (Intelligent Highway Systems), the platoon control is developed. in this paper, a platoon control law based on Adaptive Neural Network (ANN) to lower level and Semi-Autonomous Adaptive Cruise Control (SAACC) to upper level is proposed. Moreover, there is {"}Delay{"} with the communication and the sensor. We design their compensators, and did stability analysis that takes those error into consideration. We confirmed that the closed loop system is stable, and confirmed the effectiveness in the numerical simulation.",
keywords = "Adaptive control, Electric vehicles, Follow-up control, Inverse dynamics control, Neural networks, Nonlinear controlsystems",
author = "Makoto Katayama and Koji Ichikawa and Yoshitaka Oikawa and Hiromitsu Ohmori",
note = "Funding Information: This work is supported in part by Grant in Aid for the 21st century center of excellence for “System Design: Paradigm Shift from Intelligence to Life” from Ministry of education, Culture, Sport, and Technology in Japan.",
year = "2005",
doi = "10.3182/20050703-6-cz-1902.00257",
language = "English",
isbn = "008045108X",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "IFAC Secretariat",
pages = "217--222",
booktitle = "Proceedings of the 16th IFAC World Congress, IFAC 2005",
}