An Adaptive Prediction Method with Feedback Loop
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.
chaotic time series adaptive predict Volterra filter feed back
Yun Bu Guang-Jun Wen
School of Communication and Information Engineering University of Electronic Science and Technology School of Communication and Information Engineerring University of ElectronicScience and Technology
国际会议
The 10th International Conference on Intelligent Technologies(第十届智慧科技国际会议 InTech09)
桂林
英文
306-309
2009-12-12(万方平台首次上网日期,不代表论文的发表时间)