文章基本信息

标题：Nonlinear Observer Applying Neural Network for A class of Chaotic System in the Presence of Uncertain
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作者：Milad Malekzadeh, Alireza Khosravi, Abolfazl Ranjbar Noei ; Reza Ghaderi
期刊名称：International Journal of Mechatronics, Electrical and Computer Technology
印刷版ISSN：2305-0543
出版年度：2014
卷号：4
期号：10
页码：1-10
出版社：Austrian E-Journals of Universal Scientific Organization
摘要：To control chaos phenomena with desirable performance, access to the states of plant isrequired. Due to complicated structure of chaotic systems, measurement of their states is aproblem. In order to solve this problem, the observer must be added to control strategy forestimating the inaccessible states. In the present paper, the adaptive neural network observer isconsidered for chaotic system. This observer is tuned online and no exact information ofnonlinear term is needed. This characteristic covers considerable part of uncertainty of plant.
关键词：ADAPTIVE NEURAL NETWORK OBSERVER; CHAOS; DUFFING SYSTEM; GENESIOTESI;SYSTEM.