Kravaris, Costas and Seinfeld, John H. (1983) Identification of parameters in distributed parameter systems by regularization. In: 22nd IEEE Conference on Decision and Control. IEEE , Piscataway, NJ, pp. 50-55. https://resolver.caltech.edu/CaltechAUTHORS:20170727-163809593
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Abstract
Identification of spatially varying parameters in distributed parameter systems from noisy data is an ill-posed problem. The concept of regularization, widely used in solving linear Fredholm integral equations, is developed for the identification of parameters in distributed parameter systems. A general regularization identification theory is first presented and then applied to a parabolic identification problem. Methods for the numerical implementation of the regularization identification approach are also presented.
Item Type: | Book Section | |||||||||
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Additional Information: | © 1983 IEEE. | |||||||||
DOI: | 10.1109/CDC.1983.269793 | |||||||||
Record Number: | CaltechAUTHORS:20170727-163809593 | |||||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20170727-163809593 | |||||||||
Official Citation: | C. Kravaris and J. H. Seinfeld, "Identification of parameters in distributed parameter systems by regularization," The 22nd IEEE Conference on Decision and Control, San Antonio, TX, USA, 1983, pp. 50-55. doi: 10.1109/CDC.1983.269793 | |||||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | |||||||||
ID Code: | 79515 | |||||||||
Collection: | CaltechAUTHORS | |||||||||
Deposited By: | INVALID USER | |||||||||
Deposited On: | 28 Jul 2017 16:09 | |||||||||
Last Modified: | 21 Apr 2023 19:43 |
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