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Parameter identification in dynamic systems using the homotopy optimization approach

DSpace at IIT Bombay

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Title Parameter identification in dynamic systems using the homotopy optimization approach
 
Creator VYASARAYANI, CP
UCHIDA, T
CARVALHO, A
MCPHEE, J
 
Subject MULTIBODY
MODELS
Parameter estimation
Global optimization
Homotopy
Reduced-order modeling
Partial state measurement
 
Description Identifying the parameters in a mathematical model governed by a system of ordinary differential equations is considered in this work. It is assumed that only partial state measurement is available from experiments, and that the parameters appear nonlinearly in the system equations. The problem of parameter identification is often posed as an optimization problem, and when deterministic methods are used for optimization, one often converges to a local minimum rather than the global minimum. To mitigate the problem of converging to local minima, a new approach is proposed for applying the homotopy technique to the problem of parameter identification. Several examples are used to demonstrate the effectiveness of the homotopy method for obtaining global minima, thereby successfully identifying the system parameters.
 
Publisher SPRINGER
 
Date 2012-06-26T05:31:56Z
2012-06-26T05:31:56Z
2011
 
Type Article
 
Identifier MULTIBODY SYSTEM DYNAMICS,26(4)411-424
1384-5640
http://dx.doi.org/10.1007/s11044-011-9260-0
http://dspace.library.iitb.ac.in/jspui/handle/100/13976
 
Language English