Improved zeroing neural networks for finite time solving nonlinear equations
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04622-x
Abstract: Nonlinear equation is an important cornerstone of nonlinear science, and many practical problems in scientific and engineering fields can be described by nonlinear equation in mathematics. In this paper, improved zeroing neural network (IZNN) models… read more here.
Keywords: finite time; improved zeroing; time; nonlinear equation ... See more keywords
Nonconvex function activated zeroing neural network models for dynamic quadratic programming subject to equality and inequality constraints
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.05.017
Abstract: Abstract Zeroing neural network (ZNN, or termed Zhang neural network after its inventor), being a special type of neurodynamic methodology, has shown powerful abilities to solve a great variety of time-varying problems with monotonically increasing… read more here.
Keywords: znn; nonconvex function; inequality; neural network ... See more keywords
Design and analysis of new complex zeroing neural network for a set of dynamic complex linear equations
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.07.044
Abstract: Abstract This paper proposes a new complex zeroing neural network (NCZNN) to solve a set of dynamic complex linear equations, which is an extension from the design idea of the real-valued zeroing neural network. Different… read more here.
Keywords: neural network; dynamic complex; complex linear; zeroing neural ... See more keywords
A Non-Convex Activation and Noise-Suppressing Zeroing Neural Network for Finding Time-Varying Matrix Square Root
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3226253
Abstract: In this paper, a zeroing neural network model with properties of non-convex activation and noise suppressing (NANSZNN) is proposed for finding the square root of a time-varying matrix. In comparison with the existing zeroing neural… read more here.
Keywords: noise suppressing; neural network; noise; non convex ... See more keywords
A New Predefined Time Zeroing Neural Network With Drop Conservatism for Matrix Flows Inversion and Its Application.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3225155
Abstract: Zeroing neural network (ZNN) can effectively solve the matrix flows inversion problem. Nevertheless, quite a few related research works focus on the improvement of the convergence and robustness performance of the ZNN models and ignore… read more here.
Keywords: neural network; time; zeroing neural; model ... See more keywords
Data-Driven Control for Continuum Robots Based on Discrete Zeroing Neural Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3204307
Abstract: The effectiveness of continuous-time zeroing neural network (ZNN) (CZNN) in continuum robot control has been preliminarily verified. However, CZNN is not friendly to digital devices and hardware implementation. Although discrete ZNN (DZNN) has been investigated… read more here.
Keywords: zeroing neural; control continuum; continuum robots; data driven ... See more keywords
Adams–Bashforth-Type Discrete-Time Zeroing Neural Networks Solving Time-Varying Complex Sylvester Equation With Enhanced Robustness
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2021.3065091
Abstract: In this article, two Adams–Bashforth-type integration-enhanced discrete-time zeroing neural dynamic (ADTIZD) models are proposed to solve the time-varying complex Sylvester equation (TVCSE) problem in the first time. In ADTIZD models, Adams–Bashforth discrete formulas as novel… read more here.
Keywords: time; discrete time; adams bashforth; zeroing neural ... See more keywords