CA2163006A1 - Controleur a logique floue - Google Patents

Controleur a logique floue

Info

Publication number
CA2163006A1
CA2163006A1 CA002163006A CA2163006A CA2163006A1 CA 2163006 A1 CA2163006 A1 CA 2163006A1 CA 002163006 A CA002163006 A CA 002163006A CA 2163006 A CA2163006 A CA 2163006A CA 2163006 A1 CA2163006 A1 CA 2163006A1
Authority
CA
Canada
Prior art keywords
fuzzy
clearness
input
output
patterns
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.)
Abandoned
Application number
CA002163006A
Other languages
English (en)
Inventor
Labib Sultan
Talib H. Al Janabi
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
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.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CA002163006A priority Critical patent/CA2163006A1/fr
Publication of CA2163006A1 publication Critical patent/CA2163006A1/fr
Abandoned legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44—Arrangements for executing specific programs
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265—Adaptive 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
    • G05B13/0275—Adaptive 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 fuzzy logic only
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/04—Inference or reasoning models
    • G06N5/048—Fuzzy inferencing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/02—Computing arrangements based on specific mathematical models using fuzzy logic
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/02—Computing arrangements based on specific mathematical models using fuzzy logic
    • G06N7/023—Learning or tuning the parameters of a fuzzy system

Landscapes

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

Abstract

L'invention concerne la conception et la mise en oeuvre d'un système contrôleur à logique floue destiné aux applications industrielles de tout domaine. La réalisation du contrôleur fait intervenir trois technologies de base: le logiciel, les circuits VLSI et les réseaux neuronaux. Par ailleurs, l'invention concerne la conception d'un système d'intelligence artificielle mettant en oeuvre des procédures de prise de décision. Des procédures de prise de décision faisant appel à des logiques d'approximation, d'association et de raisonnement par modèles flous et évaluations résultantes de pertinence, ont été préférées à la logique de calcul Maxi-Mini à laquelle on a recours dans des systèmes de même nature qui utilisent généralement des matrices relationnelles floues pour les procédures de raisonnement par approximation. Selon le principe retenu, le contrôleur à logique floue met en oeuvre des traitements de formes floues, chacune des tâches de commande étant caractérisée d'une part par les attributs des formes floues (syntaxe et contenu, domaine et mesure de pertinence) et d'autre part par les activités cognitives élémentaires que l'être humain exerce par rapport à ces formes et, notamment, la reconnaissance, la génération, l'évaluation, l'association, la comparaison d'après modèle et l'approximation. Pour les logiques d'approximation ayant recours à des formes floues, le contrôleur à logique floue utilise le nouveau principe CTRI de règle d'inférence des transformations par pertinences (Clearness Transformation Rule of Inference). Cette façon de procéder présente de nombreux avantages parmi lesquels il convient de remarquer, d'une part, l'extension des fonctions d'intelligence artificielle du contrôleur lorqu'il s'agit de prendre en compte des tâches humaines complexes, d'autre part, l'amélioration du rendement et de la précision du contrôleur, et enfin, de moindres besoins en ressources informatiques. Le contrôleur à logique floue faisant l'objet de cette invention trouve son utilité dans les activités de bureaux d'études, les activités financières, les activités médicales, la gestion de processus, la reconnaissance des formes, et dans d'autres domaines nécessitant, pour la prise de décision, la prise en compte de comportements à base cognitive.
CA002163006A 1993-05-20 1993-05-20 Controleur a logique floue Abandoned CA2163006A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CA002163006A CA2163006A1 (fr) 1993-05-20 1993-05-20 Controleur a logique floue

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CA002163006A CA2163006A1 (fr) 1993-05-20 1993-05-20 Controleur a logique floue

Publications (1)

Publication Number Publication Date
CA2163006A1 true CA2163006A1 (fr) 1994-12-08

Family

ID=4156967

Family Applications (1)

Application Number Title Priority Date Filing Date
CA002163006A Abandoned CA2163006A1 (fr) 1993-05-20 1993-05-20 Controleur a logique floue

Country Status (1)

Country Link
CA (1) CA2163006A1 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112099057A (zh) * 2020-09-17 2020-12-18 重庆大学 一种基于模糊逻辑的双门限协作gnss干扰检测算法

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112099057A (zh) * 2020-09-17 2020-12-18 重庆大学 一种基于模糊逻辑的双门限协作gnss干扰检测算法
CN112099057B (zh) * 2020-09-17 2024-03-05 重庆大学 一种基于模糊逻辑的双门限协作gnss干扰检测算法

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Legal Events

Date Code Title Description
FZDE Discontinued