کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1704883 | 1012418 | 2012 | 10 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Different Zhang functions leading to different Zhang-dynamics models illustrated via time-varying reciprocal solving Different Zhang functions leading to different Zhang-dynamics models illustrated via time-varying reciprocal solving](/preview/png/1704883.png)
Along with neural dynamics (based on analog solvers) widely arising in scientific computation and optimization fields in recent decades which attracts extensive interest and investigation of researchers, a novel type of neural dynamics, called Zhang dynamics (ZD), has been formally proposed by Zhang et al. for the online solution of time-varying problems. By following Zhang et al.’s neural-dynamics design method, the ZD model, which is based on an indefinite Zhang function (ZF), can guarantee the exponential convergence performance for the online time-varying problems solving. In this paper, different indefinite Zhang functions, which can lead to different ZD models, are proposed and developed as the error-monitoring functions for the time-varying reciprocal problem solving. Additionally, for the goal of developing the floating-point processors or coprocessors for the future generation of computers, the MATLAB Simulink modeling and simulative verifications of such different ZD models are further presented for online time-varying reciprocal solving. The modeling results substantiate the efficacy of such different ZD models for time-varying reciprocal solving.
Journal: Applied Mathematical Modelling - Volume 36, Issue 9, September 2012, Pages 4502–4511