Evolutionary modeling of ordinary differential equations for dynamic systems
Hongqing Cao, Lishan S. Kang, Yuping Chen · 1999
This paper presents a new idea of modeling onedimensional dynamic systems by higher-order ordinary differential equation (HODE) models in stead of by the ARMA models used in the traditional time series analysis. Accordingly, based on the idea of hybrid evolutionary modeling, we modify the HEMA algorithm in (Cao et al., 1998a; Cao et al., 1998b) to approach the modeling problem of HODEs for dynamic systems. Two applications of time series are used to demonstrate its effectiveness and advantages. 1