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نمایش تعداد 1-10 از 17

Sensors-less neural maximum power point tracking control of induction machines wind generators by growing neural gas and minor component analysis EXIN + reduced order observer

نوع: Journal Paper

نویسنده : Pucci, M.

سال: 2010

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Neural MPPT Control of Wind Generators With Induction Machines Without Speed Sensors

نوع: Journal Paper

نویسنده : Pucci, M.; Cirrincione, M.

سال: 2011

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An MRAS-based sensorless high-performance induction motor drive with a predictive adaptive model

نوع: Journal Paper

نویسنده : Cirrincione, M.; Pucci, M.

سال: 2005

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A Single-Phase DG Generation Unit With Shunt Active Power Filter Capability by Adaptive Neural Filtering

نوع: Journal Paper

نویسنده : Cirrincione, M.; Pucci, M.; Vitale, G.

سال: 2008

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Efficiency analysis in induction motor drives with discontinuous PWM and electrical loss minimization

نوع: Conference Paper

نویسنده : Di Piazza, M.C.; Pucci, M.

ناشر: IEEE

سال: 2014

Neural MPPT of Variable Pitch Wind Generators with Induction Machines in a Wide Wind Speed Range

نوع: Journal Paper

نویسنده : Cirrincione, M.; Pucci, M.; Vitale, G.

ناشر: IEEE

سال: 2013

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Growing Neural Gas-Based MPPT of Variable Pitch Wind Generators With Induction Machines

نوع: Journal Paper

نویسنده : Cirrincione, M.; Pucci, M.; Vitale, G.

ناشر: IEEE

سال: 2012

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A new experimental application of least-squares techniques for the estimation of the induction motor parameters

نوع: Journal Paper

نویسنده : Cirrincione, M.; Pucci, M.; Cirrincione, G.; Capolino, G.-A.

سال: 2003

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Current Harmonic Compensation by a Single-Phase Shunt Active Power Filter Controlled by Adaptive Neural Filtering

نوع: Journal Paper

نویسنده : Cirrincione, M.; Pucci, M.; Vitale, G.; Miraoui, A.

ناشر: IEEE

سال: 2009

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Parameter identification of induction motor model by means of state space-vector model output error minimization

نوع: Conference Paper

نویسنده : Accetta, A.; Alonge, F.; Cirrincione, M.; Pucci, M.; Sferlazza, A.

ناشر: IEEE

سال: 2014

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Sensors-less neural maximum power point tracking control of induction machines wind generators by growing neural gas and minor component analysis EXIN + reduced order observer

Neural MPPT Control of Wind Generators With Induction Machines Without Speed Sensors

An MRAS-based sensorless high-performance induction motor drive with a predictive adaptive model

A Single-Phase DG Generation Unit With Shunt Active Power Filter Capability by Adaptive Neural Filtering

Efficiency analysis in induction motor drives with discontinuous PWM and electrical loss minimization

Neural MPPT of Variable Pitch Wind Generators with Induction Machines in a Wide Wind Speed Range

Growing Neural Gas-Based MPPT of Variable Pitch Wind Generators With Induction Machines

A new experimental application of least-squares techniques for the estimation of the induction motor parameters

Current Harmonic Compensation by a Single-Phase Shunt Active Power Filter Controlled by Adaptive Neural Filtering

Parameter identification of induction motor model by means of state space-vector model output error minimization

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Sensors-less neural maximum power point tracking control of induction machines wind generators by growing neural gas and minor component analysis EXIN + reduced order observer

Neural MPPT Control of Wind Generators With Induction Machines Without Speed Sensors

An MRAS-based sensorless high-performance induction motor drive with a predictive adaptive model

A Single-Phase DG Generation Unit With Shunt Active Power Filter Capability by Adaptive Neural Filtering

Efficiency analysis in induction motor drives with discontinuous PWM and electrical loss minimization

Neural MPPT of Variable Pitch Wind Generators with Induction Machines in a Wide Wind Speed Range

Growing Neural Gas-Based MPPT of Variable Pitch Wind Generators With Induction Machines

A new experimental application of least-squares techniques for the estimation of the induction motor parameters

Current Harmonic Compensation by a Single-Phase Shunt Active Power Filter Controlled by Adaptive Neural Filtering

Parameter identification of induction motor model by means of state space-vector model output error minimization