Identification of nonlinear systems using quadratic Volterra series, kernels expansion on wavelet with selection of best basis

Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

NEEREC08_129

تاریخ نمایه سازی: 28 اسفند 1394

Abstract:

Identification of a time-varying nonlinear system using a Volterra model is what our work is concerned about. To parameterize the Volterra kernels for quadratic Volterra series different methods can be used. Using orthonormal basis is one of the popular methods. The system’s time variation is approximated by a weighted sum of appropriate basis sequences. We use wavelet packets as orthonormal basis that can increase the flexibility of the model by offering an appropriate basis to be selected. We also use best basis algorithm with entropy criterion to select the wavelet packets to approximate the true system’s model. In this algorithm the minimum entropy criterion determines the best and the most efficient basis approximation that makes minimum number of sequences causing the best model.

Authors

Maryam Shafiee

Department of Electrical Engineering ,Department Ali Abad Katoul Branch, Islamic Azad University, Ali Abad Branch, Iran

Mahmood Ghanbary

Department of Electrical Engineering ,Department Ali Abad Branch, Islamic Azad University,Ali Abad Branch, Iran

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  • MODELING _ AND AUTONOMOs SYSTEMs, VOL. 33, PP. 65-88, 2000. ...
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