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

	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 1; Zheng, Boyu 1; Ou, Qingling 1; Wang, Qianqian 1; Yue, Chong 1; Chen, Limin 1; Zhang, Zhijun 2; Yu, Junzhi3,4 ; Liu, Peter X.5
发表期刊	NEURAL COMPUTING & APPLICATIONS
ISSN	0941-0643
	2023-08-14
页码	17
通讯作者	Chen, Limin(Chenlimin@ncu.edu.cn)
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.
关键词	Zeroing neural network Varying-parameter Periodic rhythm Time-varying matrix equation Finite energy noise
DOI	10.1007/s00521-023-08895-1
关键词[WOS]	CONVERGENCE ; INVERSION ; MODEL
收录类别	SCI
语种	英语
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]
项目资助者	National Natural Science Foundation of China ; Science and Technology Department of Jiangxi Province of China
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:001048720300006
出版者	SPRINGER LONDON LTD
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/53973
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.Nanchang Univ, Sch Informat Engn, Nanchang 330031, Peoples R China 2.South China Univ Technol, Sch Automat Sci & Engn, Guangzhou 510640, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Peking Univ, Coll Engn, State Key Lab Turbulence & Complex Syst, Dept Mech & Engn Sci,BIC ESAT, Beijing 100871, Peoples R China 5.Carleton Univ, Dept Syst & Comp Engn, Ottawa, ON K1S 5B6, Canada
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.