Results 21 to 30 of about 4,793,633 (336)
Control-oriented implementation and model order reduction of a lithium-ion battery electrochemical model [PDF]
The use of electrochemical models makes it computationally intractable for online implementation as the model is subject to a complicated mathematical structure including partial-differential equations (PDE).
Li, Liuying +3 more
core +1 more source
Symplectic Model Order Reduction with Non-Orthonormal Bases
Parametric high-fidelity simulations are of interest for a wide range of applications. However, the restriction of computational resources renders such models to be inapplicable in a real-time context or in multi-query scenarios.
Patrick Buchfink +2 more
doaj +1 more source
Efficient Wildland Fire Simulation via Nonlinear Model Order Reduction
We propose a new hyper-reduction method for a recently introduced nonlinear model reduction framework based on dynamically transformed basis functions and especially well-suited for transport-dominated systems.
Felix Black +2 more
doaj +1 more source
A New Biased Model Order Reduction for Higher Order Interval Systems
This paper presents a new biased method for order reduction of linear continuous time interval systems. This method is based on the Stability equation method, Pade approximation and Kharitonov’s theorem. The higher order interval system is represented by
Mangipudi Siva Kumar, Gulshad Begum
doaj +1 more source
Model Order Reduction for Nonlinear IC Models [PDF]
Model order reduction is a mathematical technique to transform nonlinear dynamical models into smaller ones, that are easier to analyze. In this paper we demonstrate how model order reduction can be applied to nonlinear electronic circuits. First we give an introduction to this important topic. For linear time-invariant systems there exist already some
Verhoeven, A. +3 more
openaire +3 more sources
Multipoint model order reduction of delayed PEEC systems [PDF]
We present a new model order reduction technique for electrically large systems with delay elements, which can be modeled by means of neutral delayed differential equations.
Antonini, Giulio +5 more
core +3 more sources
Model order reduction for optimality systems through empirical gramians
In the present article, optimal control problems for linear parabolic partial differential equations (PDEs) with time-dependent coefficient functions are considered.
Luca Mechelli +2 more
doaj +1 more source
Parametric structure-preserving model order reduction [PDF]
Analysis and verification environments for next- generation nano-scale RFIC designs must be able to cope with increasing design complexity and to account for new effects, such as process variations and Electromagnetic (EM) couplings. Designed-in passives, substrate, interconnect and devices can no longer be treated in isolation as the interactions ...
Fernández Villena, J. +2 more
openaire +2 more sources
Model-order reduction for hyperbolic relaxation systems
Abstract We propose a novel framework for model-order reduction of hyperbolic differential equations. The approach combines a relaxation formulation of the hyperbolic equations with a discretization using shifted base functions. Model-order reduction techniques are then applied to the resulting system of coupled ordinary differential ...
Sara Grundel, Michael Herty
openaire +4 more sources
Nonlinear model order reduction via Dynamic Mode Decomposition [PDF]
We propose a new technique for obtaining reduced order models for nonlinear dynamical systems. Specifically, we advocate the use of the recently developed Dynamic Mode Decomposition (DMD), an equation-free method, to approximate the nonlinear term.
Alla, Alessandro, Kutz, J. Nathan
core +2 more sources

