Longitudinal speed control of autonomous vehicle based on a self‐adaptive PID of radial basis function neural network-Reference-Cited by-同舟云学术

Longitudinal speed control of autonomous vehicle based on a self‐adaptive PID of radial basis function neural network

Published:2018-03-20 Issue:6 Volume:12 Page:485-494
ISSN:1751-9578
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Transport Systems

Author:

Nie Linzhen¹²³,Guan Jiayi¹²³,Lu Chihua¹²³,Zheng Hao¹²³,Yin Zhishuai¹²³

Affiliation:

1. School of Automotive Engineering, Wuhan University of technologyHubeiWuhan430070People's Republic of China

2. Hubei Key Laboratory of Advanced Technology for Automotive ComponentsWuhan University of TechnologyHubeiWuhan430070People's Republic of China

3. Hubei Collaborative Innovation Centre for Automotive Components Technology122 Luo Shi Road, Hongshan DistrictHubeiWuhan430070People's Republic of China

Funder

Fundamental Research Funds for the Central Universities

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-its.2016.0293

Reference28 articles.

1. Artificial neural network modelling of driver handling behaviour in a driver‐vehicle‐environment system;Lin Y.;Int. J. Veh. Des.,2005

2. Modelling of driver/vehicle directional control system;Guo K.;Veh. Syst. Dyn.,2007

3. Model predictive control for adaptive cruise control with multi‐objectives: comfort, fuel‐economy, safety and car‐following;Luo L.H.;J. Zhejiang Univ. Sci. A (Appl. Phys. Eng.),2010

4. Longitudinal control strategy for vehicle adaptive cruise control systems;Wu L.J.;J. Beijing Inst. Technol.,2007

5. Illustration of a new principle of design: vehicle speed control;Rutland N.K.;Int. J. Control,1992

Cited by 67 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Achieving accurate trajectory predicting and tracking for autonomous vehicles via reinforcement learning-assisted control approaches;Engineering Applications of Artificial Intelligence;2024-09

2. Design of an observer-based anti-disturbance speed tracking controller for integrated motor-transmission systems under uncertain parameters and road slope variation;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2024-08-03

3. Enhancing State Representation in Multi-Agent Reinforcement Learning for Platoon-Following Models;IEEE Transactions on Vehicular Technology;2024-08

4. Variable step MPC trajectory tracking control method for intelligent vehicle;Nonlinear Dynamics;2024-07-24

5. A modified sliding mode controller based on fuzzy logic to control the longitudinal dynamics of the autonomous vehicle;Results in Engineering;2024-06