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WO1992002863A3 - Procede et systeme de commande de processus par systeme expert et reseau neuronal - Google Patents

Procede et systeme de commande de processus par systeme expert et reseau neuronal Download PDF

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Publication number
WO1992002863A3
WO1992002863A3 PCT/US1991/005257 US9105257W WO9202863A3 WO 1992002863 A3 WO1992002863 A3 WO 1992002863A3 US 9105257 W US9105257 W US 9105257W WO 9202863 A3 WO9202863 A3 WO 9202863A3
Authority
WO
WIPO (PCT)
Prior art keywords
control
neural network
expert
data
decision
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/US1991/005257
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English (en)
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WO1992002863A2 (fr
Inventor
Richard D Skeirik
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EIDP Inc
Original Assignee
EI Du Pont de Nemours and Co
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Family has litigation
First worldwide family litigation filed litigation Critical https://patents.darts-ip.com/?family=24245829&utm_source=google_patent&utm_medium=platform_link&utm_campaign=public_patent_search&patent=WO1992002863(A3) "Global patent litigation dataset” by Darts-ip is licensed under a Creative Commons Attribution 4.0 International License.
Application filed by EI Du Pont de Nemours and Co filed Critical EI Du Pont de Nemours and Co
Priority to CA002066739A priority Critical patent/CA2066739C/fr
Priority to DE69128074T priority patent/DE69128074T2/de
Priority to EP91917194A priority patent/EP0498880B1/fr
Publication of WO1992002863A2 publication Critical patent/WO1992002863A2/fr
Publication of WO1992002863A3 publication Critical patent/WO1992002863A3/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/029Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks and expert systems
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/042Knowledge-based neural networks; Logical representations of neural networks
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10STECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S706/00Data processing: artificial intelligence
    • Y10S706/902Application using ai with detail of the ai system
    • Y10S706/903Control
    • Y10S706/906Process plant

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  • Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Biophysics (AREA)
  • Data Mining & Analysis (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Automation & Control Theory (AREA)
  • Feedback Control In General (AREA)

Abstract

Procédé et système de commande de processus par système expert et réseau neuronal associant les possibilités de prise de décision des systèmes experts aux possibilités de prédiction des réseaux neuronaux pour obtenir une commande de processus améliorée. Les réseaux neuronaux donnent des prédictions de mesures qui sont difficiles à effectuer, ou apportent de modifications de commande de régulation ou de surveillance qui sont difficiles à mettre en oeuvre en utilisant des techniques de commande classiques. Les systèmes experts prennent des décisions qui sont automatiquement basées sur des connaissances bien connues et qui peuvent s'exprimer sous forme de règles ou sous d'autres formes de représentation des connaissances. Les données des capteurs et les données de laboratoire sont utilisées de manière efficace. Dans un mode de fonctionnement, les données de sortie provenant du réseau neuronal peuvent être utilisées par l'unité de commande pour commander le processus, et le système expert peut prendre une décision en utilisant les données des capteurs ou les données de laboratoire pour commander la ou les unités de commande. Dans un autre mode de fonctionnement, les données de sortie du réseau neuronal peuvent être utilisées par le système expert pour sa prise de décision, et la commande du processus est réalisée en utilisant les données des capteurs ou les données de laboratoire. Dans un dernier mode de fonctionnement, les données de sortie peuvent être utilisées à la fois pour la commande d'un processus et pour la prise de décision.
PCT/US1991/005257 1990-08-03 1991-07-25 Procede et systeme de commande de processus par systeme expert et reseau neuronal Ceased WO1992002863A2 (fr)

Priority Applications (3)

Application Number Priority Date Filing Date Title
CA002066739A CA2066739C (fr) 1990-08-03 1991-07-25 Dispositif et methode de controle de processus industriel utilisant un reseau neuronal et un systeme expert
DE69128074T DE69128074T2 (de) 1990-08-03 1991-07-25 Prozesssteuersystem und -verfahren mittels eines neuronalen Netzwerkes und/oder Expertensystems
EP91917194A EP0498880B1 (fr) 1990-08-03 1991-07-25 Procede et systeme de commande de processus par systeme expert et reseau neuronal

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US562,327 1990-08-03
US07/562,327 US5121467A (en) 1990-08-03 1990-08-03 Neural network/expert system process control system and method

Publications (2)

Publication Number Publication Date
WO1992002863A2 WO1992002863A2 (fr) 1992-02-20
WO1992002863A3 true WO1992002863A3 (fr) 1992-03-19

Family

ID=24245829

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US1991/005257 Ceased WO1992002863A2 (fr) 1990-08-03 1991-07-25 Procede et systeme de commande de processus par systeme expert et reseau neuronal

Country Status (5)

Country Link
US (1) US5121467A (fr)
EP (1) EP0498880B1 (fr)
CA (1) CA2066739C (fr)
DE (1) DE69128074T2 (fr)
WO (1) WO1992002863A2 (fr)

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