Identification and Control of a Nonlinear System using Neural Networks by Extracting the System Dynamics
- 1 January 2007
- journal article
- research article
- Published by Taylor & Francis in IETE Journal of Research
- Vol. 53 (1) , 43-50
Abstract
The present paper discusses an important issue of identification and control of a nonlinear dynamical system using neural network. A novel method based on neural network model has been developed here which makes the task of calculating the system parameters simple in comparison to the methods reported so far for the extraction of system dynamics of a nonlinear system. The updated parameters of the system are obtained using a learning algorithm and the controller is tuned accordingly. Further the system stability is compared with that obtained by existing networks and the simulated results show that our method is superior.Keywords
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