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Content Provider | IEEE Xplore Digital Library |
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Author | Tanaka, K. Yamada, Y. Sakamoto, M. Uchilado, S. |
Copyright Year | 1998 |
Description | Author affiliation: Dept. of Electr. & Electron. Eng., Yamaguchi Univ., Ube, Japan (Tanaka, K.) |
Abstract | We propose a design scheme which combines model reference adaptive control with a neural network for the electropneumatic servo system. In this design scheme, the role of the neural network is to compensate for constructing a linearized model of the nonlinear plant of the electropneumatic 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 electropneumatic servo system. |
Starting Page | 1130 |
Ending Page | 1134 |
File Size | 386560 |
Page Count | 5 |
File Format | |
ISBN | 078034104X |
DOI | 10.1109/CCA.1998.721633 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 1998-09-04 |
Publisher Place | Italy |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Adaptive control Neural networks Servomechanisms Robust control Programmable control Control systems Pistons Educational institutions Friction Nonlinear control systems |
Content Type | Text |
Resource Type | Article |
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