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• W1628127030 abstract "A special class of continuous-time neural dynamics termed Zhang dynamics (ZD) has been investigated and generalized for solving the systems of time-varying nonlinear equations (STVNE). For possible digital hardware realization, the discrete-time ZD (DTZD) models are presented and investigated in this paper for solving the STVNE in the form of f(x(t), t) = 0 ∈ ℝn. For comparative purposes, the Newton iteration is also presented to solve the STVNE. Theoretical analysis, as simply and effectively proved, shows that the steady-state residual errors of the presented DTZD models are of O(τ2), which is further verified by the follow-up numerical experiments." @default.
• W1628127030 created "2016-06-24" @default.
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• W1628127030 date "2015-08-01" @default.
• W1628127030 modified "2023-10-08" @default.
• W1628127030 title "Simply and effectively proved square characteristics of discrete-time zd solving systems of time-varying nonlinear equations" @default.
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• W1628127030 doi "https://doi.org/10.1109/icinfa.2015.7279516" @default.
• W1628127030 hasPublicationYear "2015" @default.
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