Performance of MGMDH network on structural piecewise system identification

Authors:
Ali K. Setoodehnia;Hong Li
Affiliations:
-;-
Venue:
IEA/AIE '00 Proceedings of the 13th international conference on Industrial and engineering applications of artificial intelligence and expert systems: Intelligent problem solving: methodologies and approaches
Year:
2000

Citing 3
Cited 0

System identification

System identification
Neurocomputing

Neurocomputing
Adaptive Control

Adaptive Control

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper will address the capability of the Modified Group Method of Data Handling (MGMDH) for continuous and piecewise continuous approximation functions. The MGMDH is used to construct the mathematical structure of dynamic system, which is observable only from its input and output with large number of input variables. The paper present the theory and simulation results for estimation of piecewise continuous polynomial function. The output performance evaluation is included.