Raol, JR and Parameswaran, V (1994) Estimation of model error for nonlinear system identification. [["eprint_typename_proceedings" not defined]]
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Est_Mo_Err_Non_Sys_Ide_Nov1994 Download (283kB) |
Abstract
Algorithms are presented for estimation of deterministic model error in the assumed models of nonlinear discrete and continuous time systems.The explicit model error time histories are parameterized using least squares method. The parameterised models relative to the true model explain the deterministic deficiency in the chosen models, in the sense of minimum model error. The algorithms have appealing features of extended Kalman filter. The numerical simulation results are obtained by implementing the algorithms in PC MATLAB
Item Type: | ["eprint_typename_proceedings" not defined] |
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Additional Information: | Copyright for this paper belongs to IEE |
Uncontrolled Keywords: | Algorithms;Model error;Nonlinear system identification |
Subjects: | MATHEMATICAL AND COMPUTER SCIENCES > Mathematical and Computer Scienes(General) |
Depositing User: | M/S ICAST NAL |
Date Deposited: | 28 Jan 2008 |
Last Modified: | 17 Jun 2010 04:38 |
URI: | http://nal-ir.nal.res.in/id/eprint/4534 |
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