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 random noise. Theoretical analyses guarantee the precision of NTZND model in the...
Zeroing neural dynamics (ZND) model is an optimization model for solving dynamic problems. In recent years, the ZND model has been used to solve various dynamic problems and has obtained good performance [13–15]. In terms of its dynamic structure, the ZND model is a special kind of recurre...
Therefore, a noise-rejection zeroing dynamics (NRZD) model for the control of the agitator tank based on a neural-dynamics method with anti-noise performance is proposed in this paper. The solution concentration and the liquid level of the agitator tank synthesized by the NRZD model are able ...
A robust and fixed-time zeroing neural dynamics for computing time-variant nonlinear equation using a novel nonlinear activation function Neurocomputing, Volume 350, 2019, pp. 108-116 Fei Yu,…, Shuo Cai A fuzzy adaptive zeroing neural network with superior finite-time convergence for solving time...
Zeroing neural dynamics (ZND)Permutation matrixKronecker product and vectorizationIn this paper, the future unknown-transpose matrix inequality (FUTMI) as well as scalar inequality is formulated and investigated for the first time. This particular class of inequality may be encountered in scientific ...
Zeroing neural dynamics (ZND)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 ...
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systemsRESEARCH integrityQUALITY controlThis article from the journal "Security & Communication Networks" has been retracted by Hindawi due to...
Zeroing neural dynamicsDiscrete-time controlOutput tracking controlPendulum systemsDiscretization formulasAs a typical kind of nonlinear system, pendulum systems have drawn attention of numerous researchers for a very long time. This paper focuses mainly on dealing with the discrete-time tracking control ...
Zeroing neural-dynamics approachThis paper proposes a zeroing neural-dynamics (ZND) approach as well as its associated model for solving the real-time kinematic control problem of parallel robot manipulators. Unlike existing works relying on the plausibly impractical assumption that neural network models...
By utilizing zeroing neural dynamics (ZND) method, a continuous-time ZND (CTZND) model is first proposed for solving the corresponding continuous-time nonlinear optimization (CTNO) problem. Afterwards, three different explicit linear multi-step methods (i.e., explicit linear 3-step, 2-step, ...