DocumentCode :
3169399
Title :
Experiment Design for Structured Nonlinear System Identification
Author :
Hsu, Kenneth ; Vincent, Tyrone ; Poolla, Kameshwar
Author_Institution :
Univ. of California, Berkeley
fYear :
2007
fDate :
9-13 July 2007
Firstpage :
1554
Lastpage :
1559
Abstract :
When identifying nonlinear functions in interconnected systems, it is often desired that the exciting signal be sufficiently dense both spatially and temporally. However, density requirements are only realizable in infinite-length experiments. In this paper, we consider metrics for determining the quality of finite-length signals for the purpose of identification. Although the resulting experiment design problem is non-convex, we provide some insight that warrants further exploration of possible relaxations for the problem.
Keywords :
identification; nonlinear systems; signal processing; density requirement; finite-length signal; interconnected system; nonconvex experiment design; nonlinear function identification; structured nonlinear system identification; Cities and towns; Control systems; Heart; Interconnected systems; Mechanical engineering; Nonlinear control systems; Nonlinear systems; Sensor systems; Signal design; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2007. ACC '07
Conference_Location :
New York, NY
ISSN :
0743-1619
Print_ISBN :
1-4244-0988-8
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2007.4282750
Filename :
4282750
Link To Document :
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