Abstract
Algorithms are derived that pass directly from the differential equation describing the behavior of a finite-dimensional linear system to a balanced state representation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
25.7 References
P.A. Fuhrmann, A Polynomial Approach to Linear Algebra, Springer Verlag, 1996.
F.R. Gantmacher, The Theory of Matrices, Volume 1, Chelsea Publishing Co., 1959.
K. Glover, All optimal Hankel-norm approximations of linear multivariable systems: Relations to approximation, International Journal of Control, volume 43, pages 1115–1193, 1984.
S.Y. Kung, A new identification method and model reduction algorithm via singular value decomposition, 12-th Asilomar Conference on Circuits, Systems and Computation, pages 705–714, 1978.
J.W. Polderman and J.C. Willems, Introduction to Mathematical Systems Theory: A Behavioral Approach, Springer Verlag, 1998.
P. Rapisarda and J.C. Willems, State maps for linear systems, SIAM Journal on Control and Optimization, volume 35, pages 1053–1091, 1997.
J. C. Willems and H. L. Trentelman, On quadratic differential forms, SIAM Journal of Control and Optimization, volume 36, pages 1703–1749, 1998.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Willems, J.C., Rapisarda, P. (2003). Balanced State Representations with Polynomial Algebra. In: Rantzer, A., Byrnes, C.I. (eds) Directions in Mathematical Systems Theory and Optimization. Lecture Notes in Control and Information Sciences, vol 286. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36106-5_25
Download citation
DOI: https://doi.org/10.1007/3-540-36106-5_25
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-00065-5
Online ISBN: 978-3-540-36106-0
eBook Packages: Springer Book Archive