Local Volterra multivariable chaotic time series multi-step prediction based on phase points clustering

To solve the multivariable multi-step prediction problem in chaotic complex systems, this paper proposes a local Volterra model based on phase points clustering. Firstly, reconstruct the phase space of the data and calculate the similarity of the evolution trajectories. According to the similarity,...

Full description

Bibliographic Details
Main Authors: Feng Han, Shuying Yang, Shibao Song
Format: Article
Language:English
Published: JVE International 2018-09-01
Series:Journal of Vibroengineering
Subjects:
Online Access:https://www.jvejournals.com/article/19142