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

doi:10.1007/s00521-023-08895-1

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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
	Li, Chunquan 3; Zheng, Boyu 3; Ou, Qingling 3; Wang, Qianqian 3; Yue, Chong 3; Chen, Limin 3; Zhang, Zhijun 4; Yu, Junzhi 1,5; 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.