Intelligent Controller Using CMACs with Self-Organized Structure and Its Application for a Process System
Summary :
Cerebellar Model Articulation Controller (CMAC) has been proposed as one of artificial neural networks. This paper describes a design scheme of intelligent control system consists of some CMACs. Each of CMACs is trained for the specified reference signal. A new CMAC is generated for unspecified reference signals, and the CMAC whose reference signal is nearest for the new reference signal, is eliminated. Therefore, since the reference signals are removed from the input signals of the CMAC, the proposed intelligent controller can be designed with fairly small memories.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E82-A No.5 pp.856-860
- Publication Date
- 1999/05/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Systems and Control
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Toru YAMAMOTO, Masahiro KANEDA, "Intelligent Controller Using CMACs with Self-Organized Structure and Its Application for a Process System" in IEICE TRANSACTIONS on Fundamentals,
vol. E82-A, no. 5, pp. 856-860, May 1999, doi: .
Abstract: Cerebellar Model Articulation Controller (CMAC) has been proposed as one of artificial neural networks. This paper describes a design scheme of intelligent control system consists of some CMACs. Each of CMACs is trained for the specified reference signal. A new CMAC is generated for unspecified reference signals, and the CMAC whose reference signal is nearest for the new reference signal, is eliminated. Therefore, since the reference signals are removed from the input signals of the CMAC, the proposed intelligent controller can be designed with fairly small memories.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e82-a_5_856/_p
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@ARTICLE{e82-a_5_856,
author={Toru YAMAMOTO, Masahiro KANEDA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Intelligent Controller Using CMACs with Self-Organized Structure and Its Application for a Process System},
year={1999},
volume={E82-A},
number={5},
pages={856-860},
abstract={Cerebellar Model Articulation Controller (CMAC) has been proposed as one of artificial neural networks. This paper describes a design scheme of intelligent control system consists of some CMACs. Each of CMACs is trained for the specified reference signal. A new CMAC is generated for unspecified reference signals, and the CMAC whose reference signal is nearest for the new reference signal, is eliminated. Therefore, since the reference signals are removed from the input signals of the CMAC, the proposed intelligent controller can be designed with fairly small memories.},
keywords={},
doi={},
ISSN={},
month={May},}
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TY - JOUR
TI - Intelligent Controller Using CMACs with Self-Organized Structure and Its Application for a Process System
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 856
EP - 860
AU - Toru YAMAMOTO
AU - Masahiro KANEDA
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E82-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 1999
AB - Cerebellar Model Articulation Controller (CMAC) has been proposed as one of artificial neural networks. This paper describes a design scheme of intelligent control system consists of some CMACs. Each of CMACs is trained for the specified reference signal. A new CMAC is generated for unspecified reference signals, and the CMAC whose reference signal is nearest for the new reference signal, is eliminated. Therefore, since the reference signals are removed from the input signals of the CMAC, the proposed intelligent controller can be designed with fairly small memories.
ER -
English
