Summary
Carleman linearization is used to transform a polynomial control system with output, defined on n-dimensional space, into a linear or bilinear system evolving in the space of infinite sequences. Such a system is described by infinite matrices with special properties. Linear observability of the original system is studied. It means that all coordinate functions can be expressed as linear combinations of functions from the observation space. It is shown that this property is equivalent to a rank condition involving matrices that appear in the Carleman linearization. This condition is equivalent to observability of the first n coordinates of the linearized system.
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References
. Banach S (1932) Théorie des opérations linéaires, Warsaw.
. Bartosiewicz Z (1986) Realizations of olynomial systems, In: Fliess M, Hazewinkel M, Reidel D (eds) Algebraic and Geometric Methods in Nonlinear Control Theory, Dordrecht.
Bartosiewicz Z, Mozyrska D (2001) Observability of infinite-dimensional finitely presented discrete-time linear systems. Zeszyty Naukowe Politechniki Bialostockiej, Matematyka-Fizyka-Chemia 20:5–14.
. Bartosiewicz Z, Mozyrska D (2005) Observability of row-finite countable systems of linear differential equations. In: Proceedings of 16th IFAC Congress, 4–8 July 2005, Prague.
Chen G, Dora JD (1999) Rational normal form for dynamical systems by Carleman linearization. In Proceedings of the 1999 International Symposium on Symbolic and Algebraic Computation 165–172, Vancouver, British Columbia, Canada.
Curtain RF, Pritchard AJ (1978) Infinite Dimensional Linear Systems Theory, Springer-Verlag, Berlin.
. Deimling R (1977) Ordinary Differential Equations in Banach Spaces, Lecture Notes in Mathematics, vol. 596, Springer-Verlag.
. Elliott DL (1999) Bilinear Systems, Encyclopedia of Electrical Engineering, edited by John Webster; J. Wiley and Sons.
Fliess M, Kupka I (1983) A finiteness criterion for nonlinear input-output differential systems. SIAM J. Control Optim. 21(5):721–728.
Herzog G (1998) On Lipschitz conditions for ordinary differential equations in Fréchet spaces, Czech. Math. J. 48: 95–103.
Jakubczyk B (1992) Remarks on equivalence and linearization of nonlinear systems. In: Proc. Nonlinear Control Systems Design Symposium, Bordeaux, France.
Kowalski K, Steeb WH (1991) Nonlinear dynamical systems and Carleman linearization. World Scientific Publishing Co. Pte. Ltd., Singapore.
Lemmert R (1986) On ordinary differential equations in locally convex spaces. Nonlinear Anal. 10:1385–1390.
. Moszynski K, Pokrzywa A (1974) Sur les systémes infinis d’équations différentielles ordinaires dans certain espaces de Fréchet. Dissert. Math. 115.
Mozyrska D, Bartosiewicz Z (2000) Local observability of systems on R∞. In: Proceedings of MTNS’2000, Perpignan, France.
Mozyrska D (2000) Local observability of infinitely-dimensional finitely presented dynamical systems with output (in Polish), Ph.D. thesis, Technical University of Warsaw, Poland.
. Mozyrska D, Bartosiewicz Z (2006) Dualities for linear control differential systems with infinite matrices. Control & Cybernetics, vol. 35.
. Sen P (1981) On the choice of input for observability in bilinear systems. IEEE Transactions on Automatic Control. vol.AC-26 no. 2.
. Zhou Y, Martin C (2003) Carleman linearization of linear systems with polynomial output. Report 2002/2003.
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Mozyrska, D., Bartosiewicz, Z. (2008). Carleman Linearization of Linearly Observable Polynomial Systems. In: Sarychev, A., Shiryaev, A., Guerra, M., Grossinho, M.d.R. (eds) Mathematical Control Theory and Finance. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69532-5_17
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