Effect of Neural Controller on Adaptive Cruise Control

被引：2

作者：

Kuyumcu, Arden ^{[1
]}

Sengor, Neslihan Serap ^{[1
]}

机构：

[1] Istanbul Tech Univ, ITU Ayazaga Campus, TR-34469 Istanbul, Turkey

来源：

ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2016, PT II | 2016年 / 9887卷

关键词：

Vehicle; Adaptive cruise control; Artificial neural network; MATLAB; Controller;

D O I：

10.1007/978-3-319-44781-0_61

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Adaptive cruise control is a system which controls a vehicle equipped with radars and a control unit to maintain either velocity of the vehicle or the distance between the preceding vehicle. The basic principle of this system is to read and interpret the radar measurement to determine the required actuating signals and apply these signals to reach the desired goal. In this work, the control is accomplished using a feed-forward artificial neural network, and its role is discussed. All the system is modelled in MATLAB/SIMULINK environment, and the main contribution of this work is to show the applicability of artificial neural network structure to an engineering problem at system level.

引用

页码：515 / 522

页数：8

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