Different Zhang functions leading to different Zhang-dynamics models illustrated via time-varying reciprocal solving
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Publication:693589
DOI10.1016/j.apm.2011.11.081zbMath1252.65222OpenAlexW2047849171MaRDI QIDQ693589
Zhan Li, Fen Li, Yi-Wen Yang, Yu-Nong Zhang
Publication date: 7 December 2012
Published in: Applied Mathematical Modelling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.apm.2011.11.081
exponential convergence\texttt{Matlab Simulink} modelingtime-varying reciprocal solvingZhang dynamics (ZD) modelsZhang functions (ZFs)
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Control of pendulum tracking (including swinging up) of IPC system using zeroing-gradient method ⋮ A new noise-tolerant and predefined-time ZNN model for time-dependent matrix inversion ⋮ A 5-instant finite difference formula to find discrete time-varying generalized matrix inverses, matrix inverses, and scalar reciprocals ⋮ Time-varying matrix eigenanalyses via Zhang neural networks and look-ahead finite difference equations ⋮ From mathematical equivalence such as Ma equivalence to generalized Zhang equivalency including gradient equivalency ⋮ The construction of high order convergent look-ahead finite difference formulas for Zhang Neural Networks ⋮ Infinitely many Zhang functions resulting in various ZNN models for time-varying matrix inversion with link to Drazin inverse
Uses Software
Cites Work
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- A hybrid algorithm for solving linear inequalities in a least squares sense
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- A computational method for singularly perturbed nonlinear differential-difference equations with small shift
- Dynamic phase transitions and compensation temperatures in a mixed spin-3/2 and spin-5/2 Ising system
- From Zhang Neural Network to Newton Iteration for Matrix Inversion
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