DocumentCode
490224
Title
When is Nonlinear Dynamic Modeling Necessary?
Author
Nikolaou, Michael
Author_Institution
Chemical Engineering Department, Texas A&M University, College Station, TX 77843-3122. INTERNET: m0n2431@venus.tamu.edu
fYear
1993
fDate
2-4 June 1993
Firstpage
910
Lastpage
914
Abstract
The purpose of this paper is to propose an answer to the title´s question, and examine the ramifications of the provided answer. Our proposition is to quantify the nonlinearity of a system by a carefully defined 2-norm, which results from a newly constructed inner product. We develop the pertinent theory which allows the easy computation of this norm for a broad class of nonlinear dynamic systems, through Monte Carlo calculations. Explicit formulae are provided for linear systems. In addition, the problem of best approximation of a nonlinear system by a linear or nonlinear model is put in perspective, and pathways to computationally convenient solutions are charted. Practical issues are elucidated through examples of chemical engineering relevance. Further elaboration will be included in forthcoming publications.
Keywords
Chemical engineering; Distributed computing; Internet; Linear systems; Modeling; Monte Carlo methods; Nonlinear dynamical systems; Nonlinear equations; Nonlinear systems; Probability distribution; Hilbert; Nonlinear; approximation; inner product; norm;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1993
Conference_Location
San Francisco, CA, USA
Print_ISBN
0-7803-0860-3
Type
conf
Filename
4792995
Link To Document