In terms of its dynamic structure, the ZND model is a special kind of recurrent neural network that can connect previous information to the current task and has parallel computational properties. Show abstract A flexible-predefined-time convergence and noise-suppression ZNN for solving time-variant ...
A fuzzy adaptive zeroing neural network with superior finite-time convergence for solving time-variant linear matrix equations Knowledge-Based Systems, Volume 242, 2022, Article 108405 Jianhua Dai,…, Yongjun He Show 3 more articles Article Metrics Citations Citation Indexes: 23 Captures Readers: 1 ...
However, noises are ubiquitous, immanent and unavoidable in real-time systems. In this work, we propose a noise-tolerant zeroing neural dynamics (NTZND) model for solving HMTVLES. It can deal with different kinds of noises such as constant noise, linear-increasing noise, and ...
Retracted: Noise-Tolerant Zeroing Neural Dynamics for Solving Hybrid Multilayered Time-Varying Linear Equation Systemdoi:10.1155/2024/9757195LINEAR systemsRESEARCH integrityQUALITY controlThis article from the journal "Security & Communication Networks" has been retracted by Hindawi due to...
Time-varying matrixContinuous-time modelQR decomposition (QRD) is of fundamental importance for matrix factorization in both real and complex cases. In this paper, by using zeroing neural dynamics method, a continuous-time model is proposed for solving the time-varying problem of QRD in real-time...
Online singular value decomposition of time-varying matrix via zeroing neural dynamicsdoi:10.1016/j.neucom.2019.11.036Jianrong ChenYunong ZhangElsevier
Then, zeroing neural dynamics (ZND) is applied to the CUTMI solving, and a novel ZND model termed continuous-time ZND (CTZND) model is proposed and investigated. Furthermore, by adopting the Euler forward formula to discretize CTZND model, a novel discrete-time ZND (DTZND) model for ...
New Super-Twisting Zeroing Neural-Dynamics Model for Tracking Control of Parallel Robots: A Finite-Time and Robust Solutiondoi:10.1109/tcyb.2019.2930662Dechao ChenShuai LiFaa-Jeng LinQing WuIEEE
Zeroing neural dynamicsNonlinear activation functionFinite-time convergenceTime-variant nonlinear equationRobustnessNonlinear activation functions play an important role in zeroing neural network (ZNN), and it has be proved that ZNN can achieve finite-time convergence when the sign-bi-power (SBP) ...
Zeroing neural dynamics (ZND)Permutation matrixKronecker productDimensional reduction techniqueZhang et al discretization (ZeaD)In this paper, the problem of online singular value decomposition (SVD) for time-varying matrix is proposed, analyzed and investigated. In order to solve this complex and ...