A novel varying-parameter periodic rhythm neural network for solving time-varying matrix equation in finite energy noise environment and its application to robot arm | |
Li, Chunquan3; Zheng, Boyu3; Ou, Qingling3; Wang, Qianqian3; Yue, Chong3; Chen, Limin3; Zhang, Zhijun4; Yu, Junzhi1,5; Liu, Peter X.2 | |
刊名 | NEURAL COMPUTING & APPLICATIONS |
2023-08-14 | |
页码 | 17 |
关键词 | Zeroing neural network Varying-parameter Periodic rhythm Time-varying matrix equation Finite energy noise |
ISSN号 | 0941-0643 |
DOI | 10.1007/s00521-023-08895-1 |
通讯作者 | Chen, Limin(Chenlimin@ncu.edu.cn) |
英文摘要 | Solving matrix equation with noise interference is a challenging problem in mathematical and engineering applications. Unlike the traditional recurrent neural network, a novel varying-parameter periodic rhythm neural network (VP-PRNN) is proposed and used to solve the time-varying matrix equation in finite energy noise environment online. Particularly, VP-PRNN can enable the state solution to converge to the theoretical solution rapidly and robustly, which is also proved by theoretical analysis. Four kinds of noise are used to test the system, which proves the effectiveness of VP-PRNN. Compared with the zeroing neural network and circadian rhythms learning network with fixed parameters, VP-PRNN with variable parameters shows superior convergence performance in the disturbance of finite energy noise. |
资助项目 | National Natural Science Foundation of China[62173176] ; National Natural Science Foundation of China[61863028] ; National Natural Science Foundation of China[81660299] ; National Natural Science Foundation of China[61503177] ; Science and Technology Department of Jiangxi Province of China[2020ABC03A39] ; Science and Technology Department of Jiangxi Province of China[20161ACB21007] ; Science and Technology Department of Jiangxi Province of China[20171BBE50071] ; Science and Technology Department of Jiangxi Province of China[20171BAB202033] |
WOS关键词 | CONVERGENCE ; INVERSION ; MODEL |
WOS研究方向 | Computer Science |
语种 | 英语 |
出版者 | SPRINGER LONDON LTD |
WOS记录号 | WOS:001048720300006 |
资助机构 | National Natural Science Foundation of China ; Science and Technology Department of Jiangxi Province of China |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/53972] |
专题 | 复杂系统认知与决策实验室 |
通讯作者 | Chen, Limin |
作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Carleton Univ, Dept Syst & Comp Engn, Ottawa, ON K1S 5B6, Canada 3.Nanchang Univ, Sch Informat Engn, Nanchang 330031, Peoples R China 4.South China Univ Technol, Sch Automat Sci & Engn, Guangzhou 510640, Peoples R China 5.Peking Univ, Coll Engn, State Key Lab Turbulence & Complex Syst, Dept Mech & Engn Sci,BIC ESAT, Beijing 100871, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Chunquan,Zheng, Boyu,Ou, Qingling,et al. A novel varying-parameter periodic rhythm neural network for solving time-varying matrix equation in finite energy noise environment and its application to robot arm[J]. NEURAL COMPUTING & APPLICATIONS,2023:17. |
APA | Li, Chunquan.,Zheng, Boyu.,Ou, Qingling.,Wang, Qianqian.,Yue, Chong.,...&Liu, Peter X..(2023).A novel varying-parameter periodic rhythm neural network for solving time-varying matrix equation in finite energy noise environment and its application to robot arm.NEURAL COMPUTING & APPLICATIONS,17. |
MLA | Li, Chunquan,et al."A novel varying-parameter periodic rhythm neural network for solving time-varying matrix equation in finite energy noise environment and its application to robot arm".NEURAL COMPUTING & APPLICATIONS (2023):17. |
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