Art

J-GLOBAL ID：201702277251219833   Reference number：17A0524024

A NOVEL ONLINE BLACK-BOX IDENTIFICATION METHOD FOR UNKNOWN NONLINEAR SYSTEM VIA DIFFERENTIAL NEURAL NETWORK

差分ニューラルネットワークによる未知の非線形システムの新規オンラインブラックボックス同定法

Author (3)： FU Zhijun (Zhejiang Univ. Technol., Hangzhou, CHN) ,  NING Xiaobin (Zhejiang Univ. Technol., Hangzhou, CHN) ,  JIANG Qingjian (Henan Inst. Economics and Trade, Zhengzhou, CHN)
Material： International Journal of Innovative Computing, Information and Control  (IJICIC)
Volume： 13  Issue： 2  Page： 471-484  Publication year： Apr. 2017 
JST Material Number： F1199A  ISSN： 1349-4198  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *black box ,  *modeling ,  *nonlinear system ,  neural network(biomodel) ,  hidden Markov model ,  symbol ,  theory ,  computer simulation
Semi thesaurus term： *neural network modeling ,  *uncertain nonlinear systems ,  deep neural network-hidden Markov model ,  identifier ,  Lyapunov theory ,  computer simulation

JST classification (4)： Computer networks  (JC03000K) ,  Operations research in general  (KA03010Q) ,  Computer simulation  (JE11000H) ,  Computer utilization technology in general  (JE01000C)

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• J. Vance, Design and Implementation of Neural Network Output Controller for SI Engines, Master Thesis, Department of ECE, University of Missouri-Rolla, 2005.
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• J. Czarnigowski, A neural network model-based observer for idle speed control of ignition in SI engine, Engineering Applications of Artificial Intelligence, vol.23, no.1, pp.1-7, 2010.

Terms in the title (6)： 差分 ,  ニューラルネットワーク ,  非線形システム ,  オンライン ,  ブラックボックス ,  同定法