Neural network-based online H-infinity control for discrete-time affine nonlinear system using adaptive dynamic programming | |
Qin, Chunbin[1]; Zhang, Huaguang[2]; Wang, Yingchun[3]; Luo, Yanhong[4] | |
刊名 | 11th International Symposium on Neural Networks (ISNN) |
2016 | |
卷号 | 198期号:,SI页码:91-99 |
关键词 | H-infinity control Adaptive dynamic programming Neural networks Nonlinear discrete-time system Two-person zero-sum game |
ISSN号 | 0925-2312 |
DOI | http://dx.doi.org/10.1016/j.neucom.2015.08.120 |
URL标识 | 查看原文 |
收录类别 | SCI(E) ; EI ; CPCI-S |
WOS记录号 | WOS:000377230300013 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/5203863 |
专题 | 河南大学 |
作者单位 | [1]The College of Computer and Information Engineering, Henan University, Kaifeng, Henan, 475004, China |The College of Environment and Planning, Henan University, Kaifeng, Henan, 475004, China [2]The College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, 110004, China |The State Key Laboratory of Synthetical Automation for Process Industries , Shenyang, 110819, China[3]The College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, 110004, China [4]The College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, 110004, China |
推荐引用方式 GB/T 7714 | Qin, Chunbin[1],Zhang, Huaguang[2],Wang, Yingchun[3],et al. Neural network-based online H-infinity control for discrete-time affine nonlinear system using adaptive dynamic programming[J]. 11th International Symposium on Neural Networks (ISNN),2016,198(,SI):91-99. |
APA | Qin, Chunbin[1],Zhang, Huaguang[2],Wang, Yingchun[3],&Luo, Yanhong[4].(2016).Neural network-based online H-infinity control for discrete-time affine nonlinear system using adaptive dynamic programming.11th International Symposium on Neural Networks (ISNN),198(,SI),91-99. |
MLA | Qin, Chunbin[1],et al."Neural network-based online H-infinity control for discrete-time affine nonlinear system using adaptive dynamic programming".11th International Symposium on Neural Networks (ISNN) 198.,SI(2016):91-99. |
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