Trajectory Estimation and Control of Vehicle using Neuro-Fuzzy Technique

被引：0

作者：

Selma, Boumediene ^{[1
]}

Chouraqui, Samira ^{[1
]}

机构：

[1] Univ Sci & Technol Mohamed Boudiaf USTO, BP 1505, El Mnaouer 31000, Oran, Algeria

来源：

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2013年 / 13卷 / 02期

关键词：

Adaptive Neuro-fuzzy inference system (ANFIS); Fuzzy logic; neural network; nonlinear system; control;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Nonlinear system identification is becoming an important tool which can be used to improve control performance. This paper describes the application of adaptive neuro-fuzzy inference system (ANFIS) model for controlling a car. The vehicle must follow a predefined path by supervised learning. Backpropagation gradient descent method was performed to train the ANFIS system. The performance of the ANFIS model was evaluated in terms of training performance and classification accuracies and the results confirmed that the proposed ANFIS model has potential in controlling the non linear system.

引用

页码：105 / 111

页数：7

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