Identification of Spatially Variable Parameters in Linear Distributed Systems via Nonparametric Kernel Methods: A Convergence Study-Reference-Cited by-同舟云学术

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Identification of Spatially Variable Parameters in Linear Distributed Systems via Nonparametric Kernel Methods: A Convergence Study

Published:1985-07 Issue:5 Volume:18 Page:775-779
ISSN:1474-6670
Container-title:IFAC Proceedings Volumes
language:en
Short-container-title:IFAC Proceedings Volumes

Author:

Georgiev A.A.

Publisher

Elsevier BV

Subject

General Medicine

Reference32 articles.

1. Cubic spline approximation techniques for parameter estimation in distributed systems;Banks;IEEE Trans. Autom. Control.,1983

2. Recursive estimation in diffusion model;Banon;SI AM J. Control Optimiz,1981

3. Quasilinearization and nonlinear boundary value problems.;Bellman,1965

4. The double cubic spline in the identification of a class of D.P.S. with application to an underground aquifer.;Carotenuto,1978

5. Distributed parameter identification using the method of characteristics;Carpenter;Trans. ASME, J. Dynamic Syst. Meas_. Contr.,1971

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