| Title: | OS3-9 Parameter Optimization with Input/Output Data via DE for Adaptive Control System with Neural Network |
|---|---|
| Publication: | ICAROB2018 |
| Volume: | 23 |
| Pages: | 338-341 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2018.OS3-9 |
| Author(s): | Taro Takagi, Ikuro Mizumoto |
| Publication Date: | February 2, 2018 |
| Keywords: | Adaptive Control, ASPR, PFC, Neural network, Differential evolution |
| Abstract: | In this paper, adaptive control system with neural network (NN) will be designed. At the beginning, parallel feedforward compensator (PFC) will be designed by using one-shot experimental data of controlled system via differential evolution (DE). From the obtained PFC and the ideal almost strictly positive real (ASPR) model, nominal model of controlled system can be obtained. Then, parameters of adjust law for NN will be optimized by using obtained nominal model via DE. |
| PDF File: | https://alife-robotics.co.jp/members2018/icarob/data/html/data/OS_pdf/OS3/OS3-9.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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