Adaptive hybrid control system using a recurrent RBFN-based self-evolving fuzzy-neural-network for PMSM servo drives-Reference-Cited by-同舟云学术

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Adaptive hybrid control system using a recurrent RBFN-based self-evolving fuzzy-neural-network for PMSM servo drives

Published:2014-08 Issue: Volume:21 Page:509-532
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

El-Sousy Fayez F.M.

Publisher

Elsevier BV

Subject

Software

Reference79 articles.

1. Electric Motor Drives: Modeling, Analysis and Control;Krishnan,2001

2. Robust wavelet–neural–network sliding–mode control system for permanent-magnet synchronous motor drive;El-Sousy;IET Electr. Pow. Appl.,2011

3. High precision motion control of servo drives;Jezernik;IEEE Trans. Ind. Electron.,2009

4. Controlled AC electrical drives;Finch;IEEE Trans. Ind. Electron.,2008

5. Implementation of hybrid control for motor drives;Lin-Shi;IEEE Trans. Ind. Electron.,2007

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