Title | ||
---|---|---|
Simply And Effectively Proved Square Characteristics Of Discrete-Time Zd Solving Systems Of Time-Varying Nonlinear Equations |
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 epsilon R-n. 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 (tau(2)), which is further verified by the follow-up numerical experiments. |
Year | DOI | Venue |
---|---|---|
2015 | 10.1109/ICInfA.2015.7279516 | 2015 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION |
Keywords | Field | DocType |
Systems of time-varying nonlinear equations (STVNE), Discrete-time Zhang dynamics (DTZD), Residual errors, Newton iteration | Residual,Nonlinear system,Numerical models,Mathematical analysis,Steady state,Discrete time and continuous time,Trajectory,Mathematics,Newton's method | Conference |
Citations | PageRank | References |
2 | 0.39 | 6 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yunong Zhang | 1 | 2344 | 162.43 |
heng qiu | 2 | 2 | 0.39 |
Chen Peng | 3 | 22 | 3.15 |
yanyan shi | 4 | 2 | 0.39 |
Hong-Zhou Tan | 5 | 196 | 33.88 |