A neural model-based auto-tuning PID strategy to improve an industrial sugar crystallization process control - Archive ouverte HAL Access content directly
Conference Papers Year : 2010

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

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Physics [physics] Engineering Sciences [physics] Electronics Engineering Sciences [physics] 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 : Thursday, January 27, 2022-6:04:02 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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