Finite modeling of parabolic equations using Galerkin methods and inverse matrix approximations
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Signal Processing
Link
http://link.springer.com/content/pdf/10.1007/BF01188986.pdf
Reference18 articles.
1. Arnold, W.F. and Laub, A. J., Generalized eigenproblem algorithms and software for algebraic Riccati equations,Proc. IEEE,72(1984), 1746?1754; also reprinted inAdvances in Computer-Aided Control Systems Engineering (M. Jamshidi and C. J. Herget, eds.).
2. Athans, M., Kapsouris, P., Kappos, E., and Spang, H. A., Linear quadratic Gaussian with loop-transfer recovery methodology for the F-100 engine,J. Guidance, vol. 9, no. 1, pp. 45?52, Jan.?Feb. 1986.
3. Balas, M. J., The Galerkin method and feedback control of linear distributed parameter systems,J. Math. Anal. Appl., vol. 91, 1983, pp. 527?546.
4. Balas, M. J., Exponentially stabilizing finite-dimensional controllers for linear distributed parameter systems: Galerkin approximation of infinite dimensional controllers,J. Math. Anal. Appl., vol. 117, 1986, pp. 358?384.
5. Balas, M. J., Finite dimensional controllers for linear distributed parameter systems: Exponential stability using residual mode filters,J. Math. Anal. Appl., vol. 133, 1988, pp. 283?296.
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1. A numerical algorithm for the diffusion equation using 3D FEM and the Arnoldi method;Circuits, Systems, and Signal Processing;1999-05
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