An Adaptive Prediction Method with Feedback Loop

摘要：

An adaptive Volterra predictor is designed to include a feedback structure, which introduces dynamic characters for an enhanced performance. Numerical simulation shows that a low order Volterra predictor with the feedback loop could exactly capture trajectories of some chaotic time series, and the results also prove that its performance is better than most of the presented adaptive methods.

关键词： chaotic time series adaptive predict Volterra filter feed back

作者: Yun Bu Guang-Jun Wen

作者单位: School of Communication and Information Engineering University of Electronic Science and Technology School of Communication and Information Engineerring University of ElectronicScience and Technology

会议类型: 国际会议

会议名称: The 10th International Conference on Intelligent Technologies(第十届智慧科技国际会议 InTech09)

会议地点: 桂林

会议语种:英文

页码: 306-309

在线出版日期: 2009-12-12（万方平台首次上网日期，不代表论文的发表时间）