A Non-Linear System’s Response Identification using Artificial Neural Networks

Authors

  • B. Sokouti Islamic Azad University –Tabriz Branch
  • M. Sokouti Islamic Azad University –Tabriz Branch
  • S. Haghipour Islamic Azad University –Tabriz Branch

DOI:

https://doi.org/10.5755/j01.eee.113.7.614

Abstract

Identifying the kind of a non-linear system at the first initial times of applying different inputs can be useful n system identification;this identification will get important while the kind of the system's response is being predicted before reaching the %2 range of finalvalue (time delay). As the Artificial neural networks provide the best approximation for non-linear system identification, so in thisarticle the simulation is presented by the means of Radial Basis Function in MATLAB. The presented neural network is successfullyable to identify the natural responses of a non-linear system in three modes: under damped, critical damped and over damped. Ill. 5, bibl.12, tabl. 1 (in English; abstracts in English and Lithuanian).

http://dx.doi.org/10.5755/j01.eee.113.7.614

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Published

2011-09-05

How to Cite

Sokouti, B., Sokouti, M., & Haghipour, S. (2011). A Non-Linear System’s Response Identification using Artificial Neural Networks. Elektronika Ir Elektrotechnika, 113(7), 63-66. https://doi.org/10.5755/j01.eee.113.7.614

Issue

Vol. 113 No. 7 (2011)

Section

SYSTEM ENGINEERING, COMPUTER TECHNOLOGY

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