不变流形演进方向对非双曲型非线性时间序列重影算法的影响分析
The Effects of Homoclinic Tangencies and Homoclinic Intersectionons on Shadowing Algorithm for Series of Non-Hyperbolic Nonlinear Systems
DOI: 10.12677/AIRR.2016.53007, PDF, HTML, XML, 下载: 1,833  浏览: 4,482 
作者: 张政伟*, 张 铭:中国电子科技集团公司第28研究所,江苏 南京 ;樊养余*:西北工业大学电子信息学院,陕西 西安
关键词: 非双曲型非线性系统轨迹重影Newton-Raphson算法梯度下降同宿切面同宿横截点Non-Hyperbolic Nonlinear System Shadowing Newton-Raphson Algorithm Gradient Descent Homoclinic Tangencies Homoclinic Intersections
摘要: 非双曲型非线性系统同宿切面点和同宿横截点的存在,使得在机器精度内实现其时间序列轨迹重影变得十分困难。本文从原理上分析了同宿切面点对轨迹重影算法的影响,并给出可降低甚或避免同宿切面点对算法性能影响的措施。不同于现有文献认为轨迹重影算法仅受同宿切面点的影响而忽视同宿横截点对算法性能影响的做法,研究得出了同宿横截点间的最小距离和干扰噪声均方差二者间的关系,首次定量地估计了同宿横截点可能对算法造成的影响。
Abstract: The presence of homoclinic tangencies and homoclinic intersections makes it very difficult, sometimes even impossible, to shadow the trajectory of the non-hyperbolic nonlinear system. Different from former methods, this paper analyzed the effects of the homoclinic tangencies on the algorithm, and proposed methods that can decrease, or even avoid the effects. Different from those methods which take it for granted that the failure of denoising algorithms is related with the homoclinic tangencies only, experiments in this paper demonstrate a quantitative correlation between the minimal distance of homoclinic intersections and the standard variance of noise. Thus the probability that the algorithm converges to the true trajectory could be boosted efficiently, and without any doubts, this strategy would be a heuristic approach to other similar methods.
文章引用:张政伟, 张铭, 樊养余. 不变流形演进方向对非双曲型非线性时间序列重影算法的影响分析[J]. 人工智能与机器人研究, 2016, 5(3): 63-72. http://dx.doi.org/10.12677/AIRR.2016.53007

参考文献

[1] Voss, H.U., Timmer, J. and Kurths, J. (2004) Nonlinear Dynamical System Identification from Uncertain and Indirect Measurements. International Journal of Bifurcation and Chaos, 14, 1905-1933. http://dx.doi.org/10.1142/S0218127404010345
[2] 毛少杰, 邓克波, 王珩, 等. 网络化和服务化C4ISR系统复杂性[J]. 指挥信息系统与技术, 2012, 3(4): 1-6.
[3] Maybhate, A. and Amritkar, R.E. (2002) Estimation of Initial Conditions from a Scalar Time-Series. http://arxiv.org/abs/nlin/0002024
[4] 张政伟, 樊养余, 汪凯斌. 由单变量受扰观测序列估计混沌系统敏感参数[J]. 系统仿真学报, 2007, 19(14): 3318-3320.
[5] Schreiber, T. (1993) Extremely Simple Nonlinear Noise Reduction Method. Physical Review E, 47, 2401-2404. http://dx.doi.org/10.1103/PhysRevE.47.2401
[6] Davies, M. (1994) Noise Reduction Schemes for Chaotic Time Series. Physical D, 79, 174-192. http://dx.doi.org/10.1016/S0167-2789(05)80005-3
[7] 张政伟. 复杂背景条件下的信号检测与估计技术研究[D]: [博士学位论文]. 西安: 西北工业大学, 2008: 54-57.
[8] Davies, M. (1992) Noise Reduction by Gradient Descent. International Journal of Bifurcation and Chaos, 3, 113-118. http://dx.doi.org/10.1142/S0218127493000076
[9] David, R. and Kevin, J. (2002) Convergence Properties of Gradient Descent Noise Reduction. Physical D, 165, 26-47. http://dx.doi.org/10.1016/S0167-2789(02)00376-7
[10] Cao, L.Y. (1997) Practical Method for Determining the Minimum Embedding Dimension of a Scalar Time Series. Physical D, 10, 43-50. http://dx.doi.org/10.1016/S0167-2789(97)00118-8
[11] Kim, H.S., Eykholt, R. and Salas, J.D. (1999) Nonlinear Dynamics, Delay Times, and Embedding Windows. Physica D, 127, 48-60. http://dx.doi.org/10.1016/S0167-2789(98)00240-1
[12] 张政伟, 樊养余, 王凤琴. 一种快速稳健的非双曲型非线性时间序列去噪算法[J]. 航空学报, 2009, 30(1): 136-142.
[13] 张政伟. 模型未知的非双曲型非线性序列去噪算法. 计算机工程, 2011, 37(15): 6-9.
[14] Grebogi, C., Hammel, S.M. and Yorke, J.A. (1987) Do Numerical Orbits of Chaotic Dynamical Process Represent True Orbits. Journal of Complexity, 3, 136-145. http://dx.doi.org/10.1016/0885-064X(87)90024-0
[15] Walker, D.M. and Mees, A.I. (1997) Noise Reduction of Chaotic Systems by Kalman Filtering and by Shadowing. International Journal of Bifurcation and Chaos, 7, 769-779. http://dx.doi.org/10.1142/S021812749700056X