@inproceedings{96a98e5d970347abb0d6fafb427be68d,
title = "Longitudinal Dynamic Control under Complex Driving Conditions via Fuzzy Logic Sliding-mode Control",
abstract = "To track desired speed of autonomous vehicle, the longitudinal motion control algorithm was proposed based on the smooth switching between throttle actuator and brake actuator using sliding-mode control strategy. By adjusting the switching gain of the sliding-mode surface with fuzzy logic, the oscillation of the sliding-mode variable structure control system was effectively reduced. The stability of the closed-loop system was proved by Lyapunov method. The control effect was simulated under various driving processes. Simulation results show that the fuzzy logic sliding-mode control algorithm has high tracking accuracy and strong robustness even in the presence of uncertainties and external disturbances.",
keywords = "Fuzzy logic, Longitudinal control, Sliding-mode control, Vehicle model",
author = "Ruiqi Zhang and Yuzhuang Zhao and Sizhong Chen and Zhicheng Wu and Lin Yang",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 16th IEEE International Conference on Mechatronics and Automation, ICMA 2019 ; Conference date: 04-08-2019 Through 07-08-2019",
year = "2019",
month = aug,
doi = "10.1109/ICMA.2019.8816255",
language = "English",
series = "Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1161--1166",
booktitle = "Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019",
address = "United States",
}