Neural networks based identification and compensation of rate-dependent hysteresis in piezoelectric actuators
- Author
- XINLIANG ZHANG1 ; YONGHONG TAN2 ; MIYONG SU3 ; YANGQIU XIE3
[1] School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454003, China
[2] College of Mechanical and Electronic Engineering, Shanghai Normal University, Shanghai 201418, China
[3] Department of Electrical Engineering, Xidian University, Xi'an 710071, China - Source
Physica. B, Condensed matter. 2010, Vol 405, Num 12, pp 2687-2693, 7 p ; ref : 22 ref
- ISSN
- 0921-4526
- Scientific domain
- Crystallography; Condensed state physics
- Publisher
- Elsevier, Kidlington
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Compensation Hysteresis Hysteretic operator Neural networks Piezoelectric actuator Rate-dependent
- Keyword (fr)
- Equation vitesse Hystérésis Modèle hybride Modélisation Réseau neuronal Transducteur piézoélectrique
- Keyword (en)
- Rate equation Hysteresis Hybrid model Modelling Neural networks Piezoelectric transducers
- Keyword (es)
- Ecuación velocidad Modelo híbrido
- Classification
- Pascal
- 001 Exact sciences and technology / 001B Physics / 001B70 Condensed matter: electronic structure, electrical, magnetic, and optical properties / 001B70G Dielectrics, piezoelectrics, and ferroelectrics and their properties / 001B70G65 Piezoelectricity and electromechanical effects
- Discipline
- Physics of condensed state : electronic structure, electrical, magnetic and optical properties
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 22829695
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.physb.2010.03.050 
https://dx.doi.org/10.1016/j.physb.2010.03.050
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