Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4948449 | Neurocomputing | 2016 | 11 Pages |
Abstract
To solve time-varying nonlinear equations, Zhang et al. have developed a one-step discrete-time Zhang dynamics (DTZD) algorithm with O(Ï2) error pattern, where Ï denotes the sampling gap. In this paper, by exploiting the Taylor-type difference rule, a new three-step DTZD algorithm with O(Ï3) error pattern is proposed and investigated for time-varying nonlinear equations solving. Note that such an algorithm can achieve better computational performance than the one-step DTZD algorithm. As for the proposed three-step DTZD algorithm, theoretical results are given to show its excellent computational property. Comparative numerical results further substantiate the efficacy and superiority of the proposed three-step DTZD algorithm for solving time-varying nonlinear equations, as compared with the one-step DTZD algorithm. Besides, the geometric representation of the proposed three-step DTZD algorithm is provided for time-varying nonlinear equations solving.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Dongsheng Guo, Zhuoyun Nie, Laicheng Yan,