Details

Title

Estimation of an equivalent short solenoid model using different numerical methods

Journal title

Archives of Electrical Engineering

Yearbook

2011

Numer

No 4 December

Publication authors

Divisions of PAS

Nauki Techniczne

Publisher

Polish Academy of Sciences

Date

2011

Identifier

eISSN: 2300-2506 ; ISSN: 1427-4221

References

Tarantola A. (2005), Inverse problems theory and methods for model parameter estimation, doi.org/10.1137/1.9780898717921 ; Desideri D. (2010), Reconstruction of an equivalent magnetostatic source of a magnetron sputtering device, Modern Power Systems, Acta Electrotehnica, 51, 119. ; Desideri D. (null), Identification of an equivalent model for the permanent magnets of a magnetron sputtering device, COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering. ; Bertero M. (1988), Ill-posed problems in early vision, Proceedings of the IEEE, 76, 869, doi.org/10.1109/5.5962 ; Ceclan A. (2006), On an object identification via electric potential measurments, EPE, LII. ; Nocedal J. (1999), Numerical optimization, doi.org/10.1007/b98874 ; P. Van Henteryk (1997), Solving polynomial systems using a branch prune approach, SIAMJ. Numer. Anal, 34, 2, 797, doi.org/10.1137/S0036142995281504 ; Grosan C. (2008), A new approach for solving nonlinear systems of equations, IEEE Transactions on systems, man, and Cybernetics, Part A: Systems and humans, 38, 3. ; Murdock T. (1991), Use of a genetic algorithm to analize robust stability problems, null, 886. ; Marra M. (1996), Stability and optimality in genetic algorithms controllers, null, 492. ; Blaschke B. (1997), On the convergence rates for the iteratively regularized Gauss-Newwton method, IMA Journal of Numerical Analysis, 421, doi.org/10.1093/imanum/17.3.421 ; Rieder A. (1999), On the regularization of nonlinear ill-posed problems via inexact Newton iterations, Inverse Problems, 15, 3, 309, doi.org/10.1088/0266-5611/15/1/028 ; Meng Z. (2009), Newton-type method with double regularization parameter for nonlinear illposed problems, Intelligent Computing and Intelligent Systems, IEEE International Conference on, 2, 367, doi.org/10.1109/ICICISYS.2009.5358383 ; Watzenig D. (2004), Adaptive regularization parameter adjustment for reconstruction problems, IEEE Transactions on Magnetics, 40, 2, doi.org/10.1109/TMAG.2004.824557

DOI

10.2478/v10171-011-0036-1

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