Abstract
In this paper, the generality of the particular model reduction method, known as the projection of state space realization, is investigated. Given two transfer functions, one wants to find the necessary and sufficient conditions for the embedding of a state-space realization of the transfer function of smaller McMillan degree into a state-space realization of the transfer function of larger McMillan degree. Two approaches are considered, both in the MIMO case. First, when the difference of the McMillan degree between the transfer functions is equal to one and there is no common pole, necessary and sufficient conditions are provided. Then, the generic case is considered using a pencil approach. Finally, it is shown that the condition of embedding is related to the eigen structure of a pencil that appears in the framework of tangential interpolation.
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References
Antoulas AC (2005) Approximation of large-scale dynamical systems. Society for Industrial and Applied Mathematics (SIAM). Philadelphia, xxvi, 479 p
Antoulas AC, Anderson BDO (1989) On the problem of stable rational interpolation. Linear Algebra Appl 122/123/124:301–329
Chahlaoui Y, Gallivan K, Van Dooren P (2004) The H ∞ norm calculation for large sparse systems. In: Proceedings of 16th symposium on the mathematical theory of networks and systems, Katholieke Universiteit Leuven, Belgium
Freund RW (2000) Krylov-subspace methods for reduced-order modeling in circuit simulation. J Comput Appl Math 123(1–2):395–421
Gallivan K, Grimme E, Van Dooren P (1994) Asymptotic waveform evaluation via a Lanczos method. Appl Math Lett 7(5):75–80
Gallivan K, Vandendorpe A, Van Dooren P (2003) Model reduction via truncation: an interpolation point of view. Linear Algebra Appl 375:115–134
Gallivan K, Vandendorpe A., Van Dooren P (2004) Model reduction of MIMO systems via tangential interpolation. SIAM J Matrix Anal Appl 26(2):328–349
Gantmacher FR (1959) Theory of matrices, vol 2. Chelsea Publishing Company, Chelsea, New York
Glover KD (1984) All optimal Hankel-norm approximation of linear multivariable systems and their L ∞-error bounds. Int J Control 39(6):1115–1193
Grimme EJ (1997) Krylov projection methods for model reduction. PhD thesis, Department of Electrical Engineering, University of Illinois at Urbana-Champaign
Grimme EJ, Sorensen DC, Van Dooren P (1996) Model reduction of state space systems via an implicitly restarted Lanczos method. Numer Algorithms 12(1–2):1–31
Gugercin S, Antoulas AC (2004) A survey of model reduction by balanced truncation and some new results. Int J Control 77(8):748–766
Halevi Y (2002) On model order reduction via projection. In: 15th IFAC World Congress on automatic control, July 2002, pp 6
Halevi Y (2004) Can any reduced-order model be obtained by projection? In: American control conference. Boston, MA, pp 113–118
Jaimoukha I, Kasenally E (1997) Implicitly restarted Krylov subspace methods for stable partial realizations. SIAM J Matrix Anal Appl 18(3):633–652
Kågström B, Van Dooren P (1992) A generalized state-space approach for the additive decomposition of a transfer matrix. J Numer Linear Algebra Appl 1(2):165–181
Kailath T (1980) Linear systems. Information and System Sciences. Prentice-Hall, Englewood Cliffs
Loiseau JJ, Mondié S, Zaballa I, Zagalak P (1998) Assigning the Kronecker invariants of a matrix pencil by row or column completions. Linear Algebra Appl 278(1–3):327–336
Marques de Sá E (1979) Imbedding conditions for λ-matrices. Linear Algebra Appl 24:33–50
Obinata G, Anderson BDO (2001) Model reduction for control system design. In: Communications and control engineering series. Springer, London
Rosenbrock HH (1970) State-space and multivariable theory. John Wiley & Sons, [Wiley Interscience Division], New York
Sorensen DC, Antoulas AC (2002) The Sylvester equation and approximate balanced reduction. Linear Algebra Appl 351–352:671–700
Thompson RC (1979) Interlacing inequalities for invariant factors. Linear Algebra Appl 24:1–31
Van Dooren P (1981) The generalized eigenstructure problem in linear system theory. IEEE Trans Autom Control 26:111–129
Vandendorpe A (2004) Model reduction of linear systems, an interpolation point of view. PhD thesis, Université catholique de Louvain
Vandendorpe A, Van Dooren P (2004) Projection of State-space realizations. In: Unsolved problems in mathematical systems and Control theory, vol. 2. Princeton University Press, Princeton, pp 58–64
Vandendorpe A, Van Dooren P (2005) Model reduction via projection of generalized state space systems. In: IEEE Conference on decesion and control, Spain, pp 6557–6560
Varga A (1995) Enhanced modal approach for model reduction. Math Model Syst 1(2):91–105
Verhaegen MH, van Dooren P (1986) A reduced order observer for descriptor systems. Syst Control Lett 8:29–37
Zhou K, Doyle JC, Glover K (1996) Robust and optimal control. Prentice-Hall, Inc, Upper Saddle River
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Genin, Y., Vandendorpe, A. On the embedding of state space realizations. Math. Control Signals Syst. 19, 123–149 (2007). https://doi.org/10.1007/s00498-006-0011-3
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DOI: https://doi.org/10.1007/s00498-006-0011-3