K. J. Keesman, R. Stappers
Nonlinear set-membership estimation: A support vector machine approach
In this paper a support vector machine (SVM) approach for characterizing the feasible parameter set (FPS) in non-linear set-membership estimation problems is presented. It iteratively solves a regression problem from which an approximation of the boundary of the FPS can be determined. To guarantee convergence to the boundary the procedure includes a no-derivative line search and for an appropriate coverage of points on the FPS boundary it is suggested to start with a sequential box pavement procedure. The SVM approach is illustrated on a simple sine and exponential model with two parameters and an agro-forestry simulation model.
Journal of Inverse and Ill-posed Problems, Walter de Gruyter
Print ISSN: 0928-0219
Volume: 12, 02/2004
Pages: 27 - 41
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