Summary
In the present research study a new approach to the problem of modelreduction for nonlinear dynamical systems is proposed. The formulation of the problem is conveniently realized through a system of singular quasi-linear invariance PDEs, and an explicit set of conditions for solvability is derived. In particular, within the class of real analytic solutions, the aforementioned set of conditions is shown to guarantee the existence and uniqueness of a locally analytic solution, which is then proven to represent the slow invariant manifold of the nonlinear dynamical system under consideration. As a result, an exact reduced-order model for the nonlinear system dynamics is obtained through the restriction of the original system dynamics on the aforementioned slow manifold. The local analyticity property of the solution’s graph that corresponds to the system’s slow invariant manifold enables the development of a series solution method, which allows the polynomial approximation of the “slow” system dynamics on the slow manifold up to the desired degree of accuracy.
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References
V.I. Arnold: Geometrical Methods in the Theory of Ordinary Differential Equations (Springer, Berlin Heidelberg New York 1983)
A. Astolfi, R. Ortega: Immersion and invariance: A new tool for stabilization and adaptive control of nonlinear systems. IEEE Trans. Autom. Contr. 48, 590–606 (2003)
P.D. Christofides: Nonlinear and Robust Control of PDE Systems (Birkhauser, Boston, MA 2001)
R. Courant, D. Hilbert: Methods of Mathematical Physics, Volume II (John Wiley & Sons, New York 1962)
S.M. Cox, A.J. Roberts: Initial conditions for models of dynamical systems. Physica D 85, 126 (1995)
L.C. Evans: Partial Differential Equations (American Mathematical Society, Providence, RI 1998)
C. Foias, M.S. Jolly, I.G. Kevrekidis, G.R. Sell, E.S. Titi: On the computation of inertial manifolds. Phys. Lett. A 131, 433 (1989)
C. Foias, R. Sell, E.S. Titi: Exponential tracking and approximation of inertial manifolds for dissipative equations. J. Dynam. Diff. Equat 1, 199 (1989)
F.R. Gantmacher: The Theory of Matrices (Chelsea Publishing Company, New York, 1960)
A.N. Gorban, I.V. Karlin: Methods of invariant manifolds and regularization of acoustic spectra. Transp. Theor. Stat. Phys. 23, 559 (1994)
A.N. Gorban, I.V. Karlin, V.B. Zmievskii, S.V. Dymova: Reduced description in the reaction kinetics. Physica A 275, 361 (2000)
A.N. Gorban, I.V. Karlin: Method of invariant manifold for chemical kinetics. Chem. Engn. Sci. 58, 4751 (2003)
A.N. Gorban, I.V. Karlin, A.Y. Zinovyev: Constructive methods of invariant manifolds for kinetic problems. Phys. Reports 396, 197 (2004)
A.N. Gorban, I.V. Karlin: Invariant Manifolds for Physical and Chemical Kinetics, Lecture Notes in Physics, 660 (Springer, Berlin Heidelberg New York 2005)
J. Guckenheimer, P.J. Holmes: Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields (Springer, Berlin Heidelberg New York 1983)
S Jin, M. Slemrod: Regularization of the Burnett equations for rapid granular flows via relaxation. Physica D 150, 207 (2001)
T. Kaper, N. Koppel, C.K.R.T. Jones: Tracking invariant manifolds up to exponentially small errors. SIAM J. Math. Anal. 27, 558 (1996)
N. Kazantzis: Singular PDEs and the problem of finding invariant manifolds for nonlinear dynamical systems. Phys. Lett. A 272, 257 (2000)
N. Kazantzis, T. Good: Invariant manifolds and the calculation of the long-term asymptotic response of nonlinear processes using singular PDEs Comp. Chem. Eng 26, 999 (2002)
P.V. Kokotovic, H.K. Khaliland, J.O. O’Reilly, Singular Perturbation Methods in Control: Analysis and Design (Academic Press 1986)
A. Kumar, P.D. Christofides, P. Daoutidis: Singular perturbation modeling of nonlinear processes with nonexplicit time-scale multiplicity Chem. Engn. Sci. 53, 1491 (1998)
G. Li, H. Rabitz: A general analysis of exact nonlinear lumping in chemical kinetics. Chem. Engn. Sci. 49, 343 (1994)
A.M. Lyapunov: The General Problem of the Stability of Motion, (Taylor & Francis Ltd, London 1992).
G. Moore: Geometric methods for computing invariant manifolds. Appl. Numer. Math. 17, 319 (1995)
A.J. Roberts: Low-dimensional modelling of dynamics via computer algebra. Comp. Phys. Commun. 100, 215 (1997)
M.R. Roussel: Forced-convergence iterative schemes for the approximation of invariant manifolds. J. Math. Chem. 21, 385 (1997)
M.R. Roussel, S.J. Fraser: Invariant manifold methods for metabolic model reduction. Chaos 11, 196 (2001)
S.Y. Shvartsman, I.G. Kevrekidis: Nonlinear model reduction for control of distributed systems: A computer-assisted study. AICHE J. 44, 1579 (1998)
S.Y. Shvartsman, C. Theodoropoulos, R. Rico-Martinez, I.G. Kevrekidis, E.S. Titi, T.J. Mountziaris: Order reduction for nonlinear dynamic models of distributed reacting systems. J. Proc. Contr. 10, 177 (2000)
S. Wiggins: Introduction to Applied Nonlinear Dynamical Systems a nd Chaos (Springer, Berlin Heidelberg New York 1990)
A. Zagaris, H.G. Kaper, T.J. Kaper: Analysis of the computational singular perturbation reduction method for chemical kinetics. J. Nonl. Sci. 14, 59 (2004)
V.B. Zmievski, I.V. Karlin, M. Deville: The universal limit in dynamics of dilute polymeric solutions. Physica A 275, 152 (2000)
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Kazantzis, N., Kravaris, C. (2006). A New Model Reduction Method for Nonlinear Dynamical Systems Using Singular PDE Theory. In: Gorban, A.N., Kevrekidis, I.G., Theodoropoulos, C., Kazantzis, N.K., Öttinger, H.C. (eds) Model Reduction and Coarse-Graining Approaches for Multiscale Phenomena. Springer, Berlin, Heidelberg . https://doi.org/10.1007/3-540-35888-9_1
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