Application of a neural network to the identification of the dynamic behaviour of a wheelchair

被引：0

作者：

Boquete, L ^{[1
]}

García, R ^{[1
]}

Mazo, M ^{[1
]}

Barea, R ^{[1
]}

Aranda, I ^{[1
]}

机构：

[1] Univ Alcala de Henares, Dept Elect, Madrid 28801, Spain

来源：

INTELLIGENT COMPONENTS FOR VEHICLES | 1998年

关键词：

neural networks; system identification; radial base function networks; robotics; Lyapunov stability;

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：

The problem of identifying the dynamic behaviour of a wheelchair is solved by means of a new model of recurrent neural network. Once the architecture of the model has been defined, the formulae are obtained for the adjustment of its coefficients by the gradient descent technique; the conditions to be met by the gain factors are deduced to assure the convergence of the learning process and its performance is verified by identifying the real behaviour conditions of a wheelchair. Copyright (C) 1998 IFAC.

引用

页码：239 / 244

页数：6

共 50 条

[1] Dynamic adaptive fuzzy neural-network identification and its application
Pei, Z
Qin, K
Xu, Y
[J]. 2003 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-5, CONFERENCE PROCEEDINGS, 2003, : 4974 - 4979
[2] Application of functional link neural network to HVAC thermal dynamic system identification
Teeter, J
Chow, MY
[J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 1998, 45 (01) : 170 - 176
[3] Neural Network Decoupling technique and its application to a powered wheelchair system
Tuan Nghia Nguyen
Nguyen, Hung T.
[J]. 2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2015, : 4586 - 4589
[4] Neural Network Application for Emitter Identification
Matuszewski, Jan
Sikorska-Lukasiewicz, Katarzyna
[J]. 2017 18TH INTERNATIONAL RADAR SYMPOSIUM (IRS), 2017,
[5] APPLICATION OF NEURAL NETWORK MODEL FOR PARAMETERS IDENTIFICATION OF NON-LINEAR DYNAMIC SYSTEM
Balara, D.
Timko, J.
Zilkova, J.
[J]. NEURAL NETWORK WORLD, 2013, 23 (02) : 103 - 116
[6] Dynamic wavelet neural network for nonlinear dynamic system identification
Tan, YH
Dang, XJ
Liang, F
Su, CY
[J]. PROCEEDINGS OF THE 2000 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS, 2000, : 214 - 219
[7] Application of RBF Neural Network in Dynamic Weighing
Jiang, Qing
Shen, Xiaoqian
Cai, Jinhui
Yao, Yan
[J]. MANUFACTURING SCIENCE AND TECHNOLOGY, PTS 1-8, 2012, 383-390 : 1495 - 1499
[8] The Application of the Artificial Neural Network to the Identification of Dolonmites
蔡煜东
姚林声
[J]. 岩石矿物学杂志, 1994, (01) : 51 - 54
[9] Application of Neural Network on Acoustic Signal Identification
Zhang, Lixia
Feng Fuzhou
Jiang Pengcheng
Wang Xuchang
[J]. NEW TRENDS IN MECHATRONICS AND MATERIALS ENGINEERING, 2012, 151 : 523 - +
[10] Application of Dynamic Process Neural Network Model Identification in Ethnic Dance Online Teaching System
Hu, Jun
Hou, Tianshi
[J]. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022

← 1 2 3 4 5 →