Model Order Reduction for Nonlinear IC Models

DOI10.1007/978-3-642-04802-9_28zbMath1238.34099OpenAlexW1491563809MaRDI QIDQ3557830

Michael Striebel, Arie Verhoeven, E. Jan W. ter Maten, Robert M. M. Mattheij

Publication date: 23 April 2010

Published in: IFIP Advances in Information and Communication Technology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-04802-9_28

zbMATH Keywords

balanced truncationGalerkin projection

Mathematics Subject Classification ID

Transformation and reduction of ordinary differential equations and systems, normal forms (34C20) Analytic circuit theory (94C05) Qualitative investigation and simulation of ordinary differential equation models (34C60)

Related Items (4)

Model Order Reduction of Parameterized Nonlinear Systems by Interpolating Input-Output Behavior ⋮ A domain decomposition strategy for reduced order models. Application to the incompressible Navier-Stokes equations ⋮ Reduced-order subscales for POD models ⋮ Proper Orthogonal Decomposition Model Order Reduction of Nonlinear IC Models

Uses Software

• PMTBR

Cites Work

• Krylov-subspace methods for reduced-order modeling in circuit simulation
• Dimension reduction of large-scale systems. Proceedings of a workshop, Oberwolfach, Germany, October 19--25, 2003.
• Unsteady flow sensing and estimation via the gappy proper orthogonal decomposition
• Model Order Reduction for Nonlinear Differential Algebraic Equations in Circuit Simulation
• Missing Point Estimation in Models Described by Proper Orthogonal Decomposition
• Trajectory Piecewise Linear Approach for Nonlinear Differential-Algebraic Equations in circuit simulation
• Error Estimation for Reduced-Order Models of Dynamical Systems
• Approximation of Large-Scale Dynamical Systems

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