A neural model-based auto-tuning PID strategy to improve an industrial sugar crystallization process control - Université de La Réunion
Conference Papers Year : 2010

A neural model-based auto-tuning PID strategy to improve an industrial sugar crystallization process control

Brigitte Grondin-Perez
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Sébastien Beyou
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Michel Benne
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Amangoua Jean-Jacques Kadjo
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Jean-Pierre Chabriat
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Abstract

no abstract

Domains

Physics [physics] Electronics Chemical and Process Engineering

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https://hal.univ-reunion.fr/hal-01202294

Submitted on : Saturday, September 19, 2015-4:46:29 PM

Last modification on : Wednesday, February 15, 2023-6:23:58 AM

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hal-01202294 , version 1 (19-09-2015)

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  • HAL Id : hal-01202294 , version 1

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Brigitte Grondin-Perez, Sébastien Beyou, Michel Benne, Amangoua Jean-Jacques Kadjo, Jean-Pierre Chabriat. A neural model-based auto-tuning PID strategy to improve an industrial sugar crystallization process control. FOODSIM'2010, Jun 2010, Bracanga, Portugal. ⟨hal-01202294⟩

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