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

Kanya Tanaka, Yuuji Yamada, Masaru Sakamoto, Shigeru Uchikado

Research output: Contribution to conferencePaperpeer-review

14 Citations (Scopus)

Abstract

In this paper, we propose a design scheme which combines a model reference adaptive control with a neural network for the electro-pneumatic servo system. In this design scheme, the role of the neural network is to compensate for constructing a linearized model of the non-linear plant of the electro-pneumatic servo system. The role of the robust adaptive controller is to perform the model-matching for the uncertain linearized model of the plant to a given linear reference model. The effectiveness of the proposed design scheme is confirmed by experiments using the existent electro-pneumatic servo system.

Original languageEnglish
Pages1130-1134
Number of pages5
Publication statusPublished - 1 Dec 1998
EventProceedings of the 1998 IEEE International Conference on Control Applications. Part 2 (of 2) - Trieste, Italy
Duration: 1 Sep 19984 Sep 1998

Conference

ConferenceProceedings of the 1998 IEEE International Conference on Control Applications. Part 2 (of 2)
CityTrieste, Italy
Period1/09/984/09/98

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