Nonlinear Observer Applying Neural Network for A class of Chaotic System in the Presence of Uncertainty

سال انتشار: 1393
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 833

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شناسه ملی سند علمی:

JR_IJMEC-4-10_002

تاریخ نمایه سازی: 16 فروردین 1395

چکیده مقاله:

To control chaos phenomena with desirable performance, access to the states of plant is required. Due to complicated structure of chaotic systems, measurement of their states is a problem. In order to solve this problem, the observer must be added to control strategy for estimating the inaccessible states. In the present paper, the adaptive neural network observer is considered 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

کلیدواژه ها:

ADAPTIVE NEURAL NETWORK OBSERVER ، CHAOS ، DUFFING SYSTEM ، GENESIOTESI SYSTEM

نویسندگان

Milad Malekzadeh

Faculty of Electrical and Computer Engineering, Babol University of Technology, Babol, Iran

Alireza Khosravi

Faculty of Electrical and Computer Engineering, Babol University of Technology, Babol, Iran

Abolfazl Ranjbar Noei

Faculty of Electrical and Computer Engineering, Babol University of Technology, Babol, Iran

Reza Ghaderi

Faculty of Electrical and Computer Engineering, Babol University of Technology, Babol, Iran