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Development of Omni-directional Correlation Functions for Nonlinear Model Validation by Quan Min Zhu; Li Feng Zhang; Ashley Longden is a Engineering article available to read on EtoBox.

What is Development of Omni-directional Correlation Functions for Nonlinear Model Validation about?

In the present study a set of first order correlation functions are proposed to examine the quality of a wide class of identified nonlinear models. The first order correlation functions, defined as omni-directional correlation functions, are integrated into two concise tests to provide more effective auto and cross model error correlation diagnosis than the other approaches proposed from higher order correlation functions. The mechanisms of the novel validity tests are proved in theory and demonstrated with numerical analyses. Two simulated case studies, in the situation of incorrectly detected model structure and estimated parameters, are presented to illustrate the diagnostic power of the new methodology.

Who reads Development of Omni-directional Correlation Functions for Nonlinear Model Validation?

Author

Quan Min Zhu; Li Feng Zhang; Ashley Longden

Publisher

Elsevier Science; Elsevier ; Elsevier Ltd.; Test accounts; Elsevier BV (ISSN 0005-1098)

Published

2007

Language

EN

Field

Engineering (Physical Sciences)