摘要
A novel hybrid modeling method, combining the knowledge-based model and adaptive-network-based fuzzy inference system (ANFIS) model, is proposed in this paper. The modeling process is presented step by step. Firstly, a simulation based on a single-input nonlinear function is carried out to verify its feasibility and effectiveness, in comparison with results in the previous publication. Secondly, a calibration experiment based on a 16-bit absolute type encoder is presented. Significant improvements regarding the measurement accuracy of the encoder are achieved by employing the proposed approach with respect to original data and traditional algorithms.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012 |
| 页 | 1591-1596 |
| 页数 | 6 |
| DOI | |
| 出版状态 | 已出版 - 2012 |
| 活动 | 2012 24th Chinese Control and Decision Conference, CCDC 2012 - Taiyuan, 中国 期限: 23 5月 2012 → 25 5月 2012 |
出版系列
| 姓名 | Proceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012 |
|---|
会议
| 会议 | 2012 24th Chinese Control and Decision Conference, CCDC 2012 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Taiyuan |
| 时期 | 23/05/12 → 25/05/12 |
指纹
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Wang, Y., Deng, F., Sun, J., & Xu, L. (2012). ANFIS parallel hybrid modeling method for optical encoder calibration. 在 Proceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012 (页码 1591-1596). 文章 6243010 (Proceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012). https://doi.org/10.1109/CCDC.2012.6243010