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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

文献类型：期刊论文

作者Li, Chunquan4; Zheng, Boyu4; Ou, Qingling4; Wang, Qianqian4; Yue, Chong4; Chen, Limin4; Zhang, Zhijun5; Yu, Junzhi2,3; Liu, Peter X.1
刊名NEURAL COMPUTING & APPLICATIONS
出版日期2023-08-14
页码17
ISSN号0941-0643
关键词Zeroing neural network Varying-parameter Periodic rhythm Time-varying matrix equation Finite energy noise
DOI10.1007/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.
WOS关键词CONVERGENCE ; INVERSION ; MODEL
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
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.Carleton Univ, Dept Syst & Comp Engn, Ottawa, ON K1S 5B6, Canada
2.Peking Univ, Coll Engn, State Key Lab Turbulence & Complex Syst, Dept Mech & Engn Sci,BIC ESAT, Beijing 100871, Peoples R China
3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
4.Nanchang Univ, Sch Informat Engn, Nanchang 330031, Peoples R China
5.South China Univ Technol, Sch Automat Sci & Engn, Guangzhou 510640, 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.

入库方式： OAI收割

来源：自动化研究所

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