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A design of neural-net based self-tuning PID controllers

Author
SUZUKI, Michiyo1 ; YAMAMOTO, Toru1 ; KAWADA, Kazuo2 ; SOGO, Hiroyuki2
[1] Department of Technology & Information Education, Graduate School of Education, Hiroshima University, 1-1-1 Kagamiyama, Higashi-Hiroshima, Hiroshima, 739-8524, Japan
[2] Department of Electro-Mechanical Systems Engineering, Takamatsu National College of Technology, 355 Chokushi, Takamatsu, 761-8058, Japan
Conference title
Artificial neural networks (Vienna, 21-25 August 2001)
Conference name
ICANN 2001 : international conference on artificial neural networks (Vienna 2001-08-21)
Author (monograph)
Dorffner, Georg (Editor); Bischof, Horst (Editor); Hornik, Kurt (Editor)
Source

Lecture notes in computer science. 2001, pp 914-921 ; ref : 12 ref

ISSN
0302-9743
ISBN
3-540-42486-5
Scientific domain
Computer science
Publisher
Springer, Berlin
Publication country
Germany
Document type
Conference Paper
Language
English
Keyword (fr)
Apprentissage(intelligence artificielle) Commande adaptative Commande autoajustable Commande non linéaire Commande proportionnelle intégrale dérivée Réseau neuronal Synthèse commande Système commande Système non linéaire
Keyword (en)
Learning (artificial intelligence) Adaptive control Selftuning control Non linear control Differential integral proportional control Neural network Control synthesis Control system Non linear system
Keyword (es)
Control adaptativo Control autoajustable Control no lineal Control PID Red neuronal Síntesis control Sistema control Sistema no lineal
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02D Control theory. Systems / 001D02D07 Control system synthesis

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
14045182

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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