Nonlinear system identification of discrete systems using GLO-MAP

Monika Marwaha; John Valasek; Puneet Singla

Nonlinear system identification of discrete systems using GLO-MAP

Monika Marwaha, John Valasek, Puneet Singla

Aerospace Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

A Global-Local Mapping Approximation method is presented in this paper for identifying discrete systems using input-output data. The method is based on the idea that any nonlinear system can be represented as a sum of a discrete linear model and unmodeled nonlinearities. Linear system is then perturbed by a nonlinear term which represents the system nonlinearities that are not captured by the linear model. To identify the discrete systems, discrete learning laws are derived using Lyapunov stability analysis. Numerical examples show the successful application of this technique for identification of nonlinear discrete models using data obtained from the simulations.

Original language	English (US)
Title of host publication	AIAA Guidance, Navigation, and Control Conference and Exhibit
State	Published - 2009
Event	AIAA Guidance, Navigation, and Control Conference and Exhibit - Chicago, IL, United States Duration: Aug 10 2009 → Aug 13 2009

Publication series

Name	AIAA Guidance, Navigation, and Control Conference and Exhibit

Other

Other	AIAA Guidance, Navigation, and Control Conference and Exhibit
Country/Territory	United States
City	Chicago, IL
Period	8/10/09 → 8/13/09

All Science Journal Classification (ASJC) codes

Aerospace Engineering
Control and Systems Engineering
Electrical and Electronic Engineering

Cite this

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title = "Nonlinear system identification of discrete systems using GLO-MAP",

abstract = "A Global-Local Mapping Approximation method is presented in this paper for identifying discrete systems using input-output data. The method is based on the idea that any nonlinear system can be represented as a sum of a discrete linear model and unmodeled nonlinearities. Linear system is then perturbed by a nonlinear term which represents the system nonlinearities that are not captured by the linear model. To identify the discrete systems, discrete learning laws are derived using Lyapunov stability analysis. Numerical examples show the successful application of this technique for identification of nonlinear discrete models using data obtained from the simulations.",

author = "Monika Marwaha and John Valasek and Puneet Singla",

year = "2009",

language = "English (US)",

isbn = "9781563479786",

series = "AIAA Guidance, Navigation, and Control Conference and Exhibit",

booktitle = "AIAA Guidance, Navigation, and Control Conference and Exhibit",

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T1 - Nonlinear system identification of discrete systems using GLO-MAP

AU - Marwaha, Monika

AU - Valasek, John

AU - Singla, Puneet

PY - 2009

Y1 - 2009

N2 - A Global-Local Mapping Approximation method is presented in this paper for identifying discrete systems using input-output data. The method is based on the idea that any nonlinear system can be represented as a sum of a discrete linear model and unmodeled nonlinearities. Linear system is then perturbed by a nonlinear term which represents the system nonlinearities that are not captured by the linear model. To identify the discrete systems, discrete learning laws are derived using Lyapunov stability analysis. Numerical examples show the successful application of this technique for identification of nonlinear discrete models using data obtained from the simulations.

AB - A Global-Local Mapping Approximation method is presented in this paper for identifying discrete systems using input-output data. The method is based on the idea that any nonlinear system can be represented as a sum of a discrete linear model and unmodeled nonlinearities. Linear system is then perturbed by a nonlinear term which represents the system nonlinearities that are not captured by the linear model. To identify the discrete systems, discrete learning laws are derived using Lyapunov stability analysis. Numerical examples show the successful application of this technique for identification of nonlinear discrete models using data obtained from the simulations.

UR - http://www.scopus.com/inward/record.url?scp=78049234249&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78049234249&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:78049234249

SN - 9781563479786

T3 - AIAA Guidance, Navigation, and Control Conference and Exhibit

BT - AIAA Guidance, Navigation, and Control Conference and Exhibit

T2 - AIAA Guidance, Navigation, and Control Conference and Exhibit

Y2 - 10 August 2009 through 13 August 2009

ER -

Nonlinear system identification of discrete systems using GLO-MAP

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

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