Regularized Taylor Echo State Networks for Predictive Control of Partially Observed Systems
文献类型：期刊论文
| 作者 | Xiang, Kui1; Li, Bing Nan2; Zhang, Liyan1; Pang, Muye1; Wang, Meng3; Li, Xuelong4
|
| 刊名 | ieee access
 |
| 出版日期 | 2016 |
| 卷号 | 4页码:3300-3309 |
| 关键词 | Neural networks echo state networks sparse regularization predictive control |
| ISSN号 | 2169-3536 |
| 产权排序 | 4 |
| 通讯作者 | li, bing nan (bingoon@ieee.org) |
| 英文摘要 | the existing neural networks suffer from partial observation while modeling and controlling dynamic systems. in this paper, a new linearized recurrent neural network, the taylor expanded echo state network (tesn), is proposed for predictive control of partially observed dynamic systems. two schemes of regularization, ridge regression and sparse regression, are imposed on tesns to tackle the issue of ill-conditioned estimation. furthermore, two estimators, lasso and elastic net, are investigated for sparse regression. regularized learning is found to improve the estimation consistency of readout coefficients and, at the same time, suppress the accumulation of linearization residues in a prediction horizon. a series of experiments was carried out, and the results verified that regularized learning is contributive to tesns in predictive control of partially observed dynamic systems. |
| WOS标题词 | science & technology ; technology |
| 类目[WOS] | computer science, information systems ; engineering, electrical & electronic ; telecommunications |
| 研究领域[WOS] | computer science ; engineering ; telecommunications |
| 关键词[WOS] | recurrent neural-networks ; nonlinear-systems ; selection ; regression ; identification ; recognition |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000380337900002 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/28194]  |
| 专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
| 作者单位 | 1.Wuhan Univ Technol, Sch Automat, Wuhan 430070, Peoples R China 2.Hefei Univ Technol, Sch Instrument Sci & Optoelect Engn, Hefei 230009, Peoples R China 3.Hefei Univ Technol, Sch Comp & Informat, Hefei 230009, Peoples R China 4.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Ctr Optic Imagery Anal & Learning, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xiang, Kui,Li, Bing Nan,Zhang, Liyan,et al. Regularized Taylor Echo State Networks for Predictive Control of Partially Observed Systems[J]. ieee access,2016,4:3300-3309. |
| APA | Xiang, Kui,Li, Bing Nan,Zhang, Liyan,Pang, Muye,Wang, Meng,&Li, Xuelong.(2016).Regularized Taylor Echo State Networks for Predictive Control of Partially Observed Systems.ieee access,4,3300-3309. |
| MLA | Xiang, Kui,et al."Regularized Taylor Echo State Networks for Predictive Control of Partially Observed Systems".ieee access 4(2016):3300-3309. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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