# American Institute of Mathematical Sciences

2015, 2015(special): 945-953. doi: 10.3934/proc.2015.0945

## Approximation and model order reduction for second order systems with Levy-noise

 1 Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstr. 1, 39106 Magdeburg, Germany, Germany

Received  September 2014 Revised  September 2015 Published  November 2015

We consider a controlled second order stochastic partial differential equation (SPDE) with Levy noise. To solve this system numerically, we apply a Galerkin scheme leading to a sequence of ordinary SDEs of large order. To reduce the high dimension we use balanced truncation.
Citation: Martin Redmann, Peter Benner. Approximation and model order reduction for second order systems with Levy-noise. Conference Publications, 2015, 2015 (special) : 945-953. doi: 10.3934/proc.2015.0945
##### References:
 [1] A. C. Antoulas, Approximation of large-scale dynamical systems, Advances in Design and Control 6. Philadelphia, PA: Society for Industrial and Applied Mathematics (SIAM), 2005. [2] P. Benner and T. Damm, Lyapunov equations, energy functionals, and model order reduction of bilinear and stochastic systems, SIAM J. Control Optim., 49 (2011), 686-711. [3] R. F. Curtain, Stability of Stochastic Partial Differential Equation, J. Math. Anal. Appl., 79 (1981), 352-369. [4] T. Damm, Rational Matrix Equations in Stochastic Control, Lecture Notes in Control and Information Sciences 297, Berlin: Springer, 2004. [5] W. Grecksch and P. E. Kloeden, Time-discretised Galerkin approximations of parabolic stochastic PDEs, Bull. Aust. Math. Soc., 54 (1996), 79-85. [6] E. Hausenblas, Approximation for Semilinear Stochastic Evolution Equations, Potential Anal., 18 (2003), 141-186. [7] A. Jentzen and P. E. Kloeden, Overcoming the order barrier in the numerical approximation of stochastic partial differential equations with additive space-time noise, Proc. R. Soc. A 2009, 465 (2009), 649-667. [8] B. C. Moore, Principal component analysis in linear systems: Controllability, observability, and model reduction, IEEE Trans. Autom. Control, 26 (1981), 17-32. [9] S. Peszat and J. Zabczyk, Stochastic Partial Differential Equations with Lévy Noise. An evolution equation approach, Encyclopedia of Mathematics and Its Applications 113, Cambridge: Cambridge University Press, 2007. [10] A. J. Pritchard and J. Zabczyk, Stability and Stabilizability of Infinite-Dimensional Systems, SIAM Rev., 23 (1981), 25-52. [11] M. Redmann and P. Benner, Model Reduction for Stochastic Systems, Stoch PDE: Anal Comp, 3(3) (2015), 291-338.

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##### References:
 [1] A. C. Antoulas, Approximation of large-scale dynamical systems, Advances in Design and Control 6. Philadelphia, PA: Society for Industrial and Applied Mathematics (SIAM), 2005. [2] P. Benner and T. Damm, Lyapunov equations, energy functionals, and model order reduction of bilinear and stochastic systems, SIAM J. Control Optim., 49 (2011), 686-711. [3] R. F. Curtain, Stability of Stochastic Partial Differential Equation, J. Math. Anal. Appl., 79 (1981), 352-369. [4] T. Damm, Rational Matrix Equations in Stochastic Control, Lecture Notes in Control and Information Sciences 297, Berlin: Springer, 2004. [5] W. Grecksch and P. E. Kloeden, Time-discretised Galerkin approximations of parabolic stochastic PDEs, Bull. Aust. Math. Soc., 54 (1996), 79-85. [6] E. Hausenblas, Approximation for Semilinear Stochastic Evolution Equations, Potential Anal., 18 (2003), 141-186. [7] A. Jentzen and P. E. Kloeden, Overcoming the order barrier in the numerical approximation of stochastic partial differential equations with additive space-time noise, Proc. R. Soc. A 2009, 465 (2009), 649-667. [8] B. C. Moore, Principal component analysis in linear systems: Controllability, observability, and model reduction, IEEE Trans. Autom. Control, 26 (1981), 17-32. [9] S. Peszat and J. Zabczyk, Stochastic Partial Differential Equations with Lévy Noise. An evolution equation approach, Encyclopedia of Mathematics and Its Applications 113, Cambridge: Cambridge University Press, 2007. [10] A. J. Pritchard and J. Zabczyk, Stability and Stabilizability of Infinite-Dimensional Systems, SIAM Rev., 23 (1981), 25-52. [11] M. Redmann and P. Benner, Model Reduction for Stochastic Systems, Stoch PDE: Anal Comp, 3(3) (2015), 291-338.
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