model order reduction algorithm
Addressing Computational Complexity of High Speed Distributed Circuits Using Model Order Reduction
... a model order reduction algorithm will be developed to efficiently link nonlinear elements to the reduced order system without having to increase the number of ...the order of ...
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Parametric modeling and model order reduction for (electro-)thermal analysis of nanoelectronic structures
... parametric model order reduction (PMOR) to compute a reduced-order model (ROM) that is not only of a much lower dimension, but also accurate for all values of the parameters within a ...
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Model Order Reduction of Interval Systems Using Mihailov Criterion and Routh Approximation
... An algorithm was introduced for reduced order model using Pade approximation [Shamash, Y (1974)], Routh approximation [Hutton,M ...for model reduction [Krishnamurthy, ...based ...
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A Conglomerating approach for Model Order Reduction of Continuous Large Scale Systems
... pole-clustering algorithm in which clustering of poles is done using IDM criterion while the coefficients of the numerator are obtained by factor division ...the algorithm of the proposed method is simple, ...
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Partial Order Reduction for PINS
... set algorithm and of the conflicting transitions ...transitions algorithm (101 of the 277 models have some reduction, average reduction of these models is about 20 percent ...set ...
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Application of multiphysics model order reduction to doppler/neutronic feedback
... reduced-order model is presented for parametrized multiphysics ...simplified model of the molten salt fast reactor concept. The reduced model is created using the method of snapshots where the ...
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MODEL ORDER REDUCTION BASED ON MOMENT MATCHING USING LEGENDRE WAVELET AND HARMONY SEARCH ALGORITHM
... for model order reduction of high order systems based on moment matching ...full order model is expanded by Legendre wavelet function which is included in orthogonal ...structure ...
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Model Order Reduction and its Application to an Inverse Electroencephalography Problem
... common algorithm to solve it is the stochastic gradient descent [150], for which is known that it gives sub-optimal results because of the nonlinearity of σ ...
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Model order reduction of SISO and MIMO systems using particle swarm optimization
... for order reduction of Single and Multi variable linear dynamic ...reduced order numerator and denominator are determined by reducing the integral square error between the transient responses of ...
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Towards a pancreatic surgery simulator based on model order reduction
... the state of the art in usual engineering practice, it must be kept in mind that the haptic feedback imposes an important bottleneck to the procedure: to avoid unphysical jumps in the response, producing a sequence of ...
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Addressing Computational Complexity of Electromagnetic Systems Using Parameterized Model Order Reduction
... proposed algorithm directly differentiates the network equations and uses multi-order Arnoldi method to calculate the moments, without having to perform rational curve fitting or introduce separate ...
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An error estimator for real-time simulators based on model order reduction
... The simplest linearization of the resulting problem comes from an explicit assumption in which load is applied in a series of pseudo-time increments t, producing displacement increments u(x, s). At each time increment, ...
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A Method for System Order Reduction based on Genetic Algorithm and FFT
... high order differential ...high order equaion is cumbersome and time ...system order reduction techniques. Reduced order model must preserve original systems ...
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Transformation of passive electrical networks with distributed PWL-sources using a Model Order Reduction
... the model is not ...the reduction with MOR, calculated almost four times faster due to the lower number of ports (Table ...PMTBR algorithm as described in ...
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Model Order Reduction in Fluid Dynamics: Challenges and Perspectives
... This algorithm has been applied for the first time to saddle point Stokes problems in [106], while a first extension to the nonlinear Navier-Stokes case has been con- sidered in ...SCM algorithm is able to ...
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Stability-preserving model order reduction for linear stochastic Galerkin systems
... Numerical simulation of mathematical models represents the main issue in scientific com- puting. We consider linear dynamical systems, which play an important role in mechanics and electrical engineering, for example. ...
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Frequency-weighted controller and model order reduction methods in linear system design
... We shall also relate Moore's [Mool] direct truncation reduction and the slow singular perturbation approximation [Ferl] of a stable, minimal , and internally balanced system and show tha[r] ...
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A new model order reduction strategy adapted to nonlinear problems in earthquake engineering
... The first paper regarding the field of structural dynamics was written by Cusumano et al. [6] in the early 1990s, who presented an experimental study of dimensionality in an elastic impact oscillator. In the papers of ...
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Transient simulation of an electrical rotating machine achieved through model order reduction
... All those methods have proved to be extremely robust and efficient for linear problems. However, applying them in the nonlinear case appears to be much more challenging. For instance, the Arnoldi–Lanczos procedure which ...
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Simultaneous normal form transformation and model-order reduction for systems of coupled nonlinear oscillators
... Normal form transformations have been used extensively to treat a range of practical applications in physics and engineering, particularly single-degree-of-freedom nonlinear oscillators, and systems of two or more ...
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