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Adaptive Control of Discrete-time Nonlinear Systems Using ITF-ORVFL
Xiaofei Zhang; Hongbin Ma; Wenchao Zuo; Man Luo
发表期刊IEEE/CAA Journal of Automatica Sinica
ISSN2329-9266
2022
卷号9期号:3页码:556-563
摘要Random vector functional ink (RVFL) networks belong to a class of single hidden layer neural networks in which some parameters are randomly selected. Their network structure in which contains the direct links between inputs and outputs is unique, and stability analysis and real-time performance are two difficulties of the control systems based on neural networks. In this paper, combining the advantages of RVFL and the ideas of online sequential extreme learning machine (OS-ELM) and initial-training-free online extreme learning machine (ITF-OELM), a novel online learning algorithm which is named as initial-training-free online random vector functional link algo rithm (ITF-ORVFL) is investigated for training RVFL. The link vector of RVFL network can be analytically determined based on sequentially arriving data by ITF-ORVFL with a high learning speed, and the stability for nonlinear systems based on this learning algorithm is analyzed. The experiment results indicate that the proposed ITF-ORVFL is effective in coping with nonparametric uncertainty.
关键词Adaptive control initial-training-free online learning algorithm random vector functional link networks
DOI10.1109/JAS.2019.1911801
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被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/47215
专题学术期刊_IEEE/CAA Journal of Automatica Sinica
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Xiaofei Zhang,Hongbin Ma,Wenchao Zuo,et al. Adaptive Control of Discrete-time Nonlinear Systems Using ITF-ORVFL[J]. IEEE/CAA Journal of Automatica Sinica,2022,9(3):556-563.
APA Xiaofei Zhang,Hongbin Ma,Wenchao Zuo,&Man Luo.(2022).Adaptive Control of Discrete-time Nonlinear Systems Using ITF-ORVFL.IEEE/CAA Journal of Automatica Sinica,9(3),556-563.
MLA Xiaofei Zhang,et al."Adaptive Control of Discrete-time Nonlinear Systems Using ITF-ORVFL".IEEE/CAA Journal of Automatica Sinica 9.3(2022):556-563.
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