电子学报2017，Vol.45Issue(5)：1044-1051,8.DOI:10.3969/j.issn.0372-2112.2017.05.003
基于相空间重构与最小二乘支持向量机的时延预测
Time-Delay Prediction Based on Phase Space Reconstruction and Least Squares Support Vector Machine
摘要
Abstract
In order to solve time-delay prediction problem of networked control system,a time-delay prediction method based on phase space reconstruction and least squares support vector machine is proposed in this paper.Firstly,0-1 test algorithm for chaos is used to determine the chaotic characteristics of the time-delay sequence,and the phase space reconstruction technique is introduced to improve the prediction accuracy.The Hurst exponent of the real time-delay sequence is analyzed,and least squares support vector machine is selected as the prediction model.Then,C-C method is used to determine the parameters of phase space reconstruction.The partial predictability of time-delay is determined by recurrence plot.The parameters of least squares support vector machine are off-line optimized by genetic algorithm.Finally,the time-delay sequence is predicted by the optimized least squares support vector machine combined with the phase space reconstruction.Compared with other prediction methods,the simulation results show that the proposed method has higher prediction accuracy and smaller prediction error,and does not reduce the real-time performance of the algorithm.关键词
网络控制系统/相空间重构/最小二乘支持向量机/时延预测Key words
networked control system/phase space reconstruction/least squares support vector machine/time-delay prediction分类
信息技术与安全科学引用本文复制引用
田中大,张超,李树江,王艳红,沙毅..基于相空间重构与最小二乘支持向量机的时延预测[J].电子学报,2017,45(5):1044-1051,8.基金项目
国家自然科学基金(No.11273001) （No.11273001）
辽宁省博士启动基金(No.20141070) （No.20141070）
