Model reduction of 2-D systems via orthogonal series-Reference-Cited by-同舟云学术

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Model reduction of 2-D systems via orthogonal series

Published:1991-03 Issue:1 Volume:2 Page:69-83
ISSN:0923-6082
Container-title:Multidimensional Systems and Signal Processing
language:en
Short-container-title:Multidim Syst Sign Process

Author:

Paraskevopoulos P. N.,Panagopoulos P. E.,Vaitsis G. K.,Varoufakis S. J.,Antoniou G. E.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing,Software

Link

http://link.springer.com/content/pdf/10.1007/BF01940473.pdf

Reference22 articles.

1. P.N. Paraskevopoulos, “Techniques in model reduction for large scale systems,”Control and Dynamic Systems: Advances in Theory and Applications, Academic Press, NY, (Ed., C.T. Leondes), vol. 23, pp. 165–189, 1986.

2. R. Genesio and M. Milanese, “A note on the derivation and use of reduced-order models,”IEEE Trans. Autom. Control, vol. AC-21, pp. 118–122, 1976.

3. J. Hickien and N.K. Sinha, “Model reduction of linear multivariable systems,”IEEE Trans. Autom. Control, vol. AC-25, pp. 1121–1127, 1980.

4. N.R. Sandel, P. Varaiya, M. Athans and M.G. Safonov, “Survey of decentralized control methods for large scale systems,”IEEE Trans. Autom. Control, vol. AC-23, pp. 108–128, 1978.

5. M.J. Bosley and F.P. Lees, “A survey of simple transfer function derivations from higher order state variable models,”Automatica, vol. 8, pp. 765–775, 1972.

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