Model reference adaptive control with multi-rate type neural network for electro-pneumatic servo system

Kanya Tanaka, Yuji Yamada, Taiji Satoh, Akihiko Uchibori, Shigeru Uchikado

Research output: Contribution to conferencePaperpeer-review

9 Citations (Scopus)

Abstract

In this paper, we propose a design scheme which combines a model reference adaptive control with a neural network (NN) for the electro-pneumatic servo system. In this design scheme, we adopt a multi-rate type NN in which an update-time of weights is selected as multiple of a sampling-time. The effectiveness of the proposed design scheme is confirmed by experiments using the existent electro-pneumatic servo system.

Original languageEnglish
Pages1716-1721
Number of pages6
Publication statusPublished - 1 Dec 1999
EventProceedings of the 1999 IEEE International Conference on Control Applications (CCA) and IEEE International Symposium on Computer Aided Control System Design (CACSD) - Kohala Coast, HI, USA
Duration: 22 Aug 199927 Aug 1999

Conference

ConferenceProceedings of the 1999 IEEE International Conference on Control Applications (CCA) and IEEE International Symposium on Computer Aided Control System Design (CACSD)
CityKohala Coast, HI, USA
Period22/08/9927/08/99

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