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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...
For online solution of time-varying linear equations, a special kind of recurrent neural networks has recently been proposed by Zhang et al. It has been proved that global exponential convergence of such recurrent neural networks (or termed Zhang neural networks, ZNN, for presentation convenience) can be achieved. For easier hardware-realization, as well as to find out the effect of time-derivative...
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