论文信息 - Model Order Reduction of Nonlinear Systems By Interpolating Input-Output Behavior

Model Order Reduction of Nonlinear Systems By Interpolating Input-Output Behavior

In this paper we propose a new approach for model order reduction of parameterized nonlinear systems. Instead of projecting onto the dominant state space, an analog macromodel is constructed for the dominant input-output behavior. This macromodel is suitable for (re)use in analog circuit simulators. The performance of the approach is illustrated for a benchmark nonlinear system.

Michael Striebel | Joost Rommes

[1] Michael Striebel,et al. Model order reduction of nonlinear systems: status, open issues, and applications , 2008 .

[2] Danny C. Sorensen,et al. Nonlinear Model Reduction via Discrete Empirical Interpolation , 2010, SIAM J. Sci. Comput..

[3] Peter B. L. Meijer,et al. Fast and smooth highly nonlinear multidimensional table models for device modeling , 1990 .

[4] Janne Roos,et al. An efficient piecewise-linear DC analysis method for general non-linear circuits , 1999 .

[5] Athanasios C. Antoulas,et al. Approximation of Large-Scale Dynamical Systems , 2005, Advances in Design and Control.

[6] Alan Mathewson,et al. MOS table models for circuit simulation , 2005, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

[7] Jacob K. White,et al. A trajectory piecewise-linear approach to model order reduction and fast simulation of nonlinear circuits and micromachined devices , 2001, IEEE/ACM International Conference on Computer Aided Design. ICCAD 2001. IEEE/ACM Digest of Technical Papers (Cat. No.01CH37281).