Results 151 to 160 of about 31,410,548 (207)
Nonlinear Model Reduction via Discrete Empirical Interpolation
SIAM Journal of Scientific Computing, 2010 Saifon Chaturantabut, Danny C Sorensen
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Data-driven operator inference for nonintrusive projection-based model reduction
Computer Methods in Applied Mechanics and Engineering, 2016 Karen E Willcox, Benjamin Peherstorfer
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Journal of Dynamic Systems, Measurement, and Control, 1986
In this brief note, the effects of model reduction on the stability boundaries of control systems with parameter variations, and the limit-cycle characteristics of nonlinear control systems are investigated. In order to reduce these effects, a method of model reduction is used which can approximate the original transfer function at S=0, S=∞, and also ...
Lin, Jium-Ming, Han, Kuang-Wei
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In this brief note, the effects of model reduction on the stability boundaries of control systems with parameter variations, and the limit-cycle characteristics of nonlinear control systems are investigated. In order to reduce these effects, a method of model reduction is used which can approximate the original transfer function at S=0, S=∞, and also ...
Lin, Jium-Ming, Han, Kuang-Wei
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A general model reduction with primal assembly in structural dynamics
Computer Methods in Applied Mechanics and Engineering, 2017Jin-Gyun Kim +2 more
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2005
In this paper, the notions of polynomial–time model equivalent reduction and polynomial–space model equivalent reduction are introduced in order to investigate in a subtle way the expressive power of different theories. We compare according to these notions some classes of propositional formulas and quantified Boolean formulas.
Xishun Zhao, Hans Kleine Büning
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In this paper, the notions of polynomial–time model equivalent reduction and polynomial–space model equivalent reduction are introduced in order to investigate in a subtle way the expressive power of different theories. We compare according to these notions some classes of propositional formulas and quantified Boolean formulas.
Xishun Zhao, Hans Kleine Büning
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1986 25th IEEE Conference on Decision and Control, 1986
Three model reduction methods are described. These are the discrete balanced realizations of Mullis and Roberts [1],[2] where a characterization of the reduction error is given and a previously unknown L? norm bound on the reduction error, is obtained.
Ubaid M. Al-saggaf, Gene F. Franklin
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Three model reduction methods are described. These are the discrete balanced realizations of Mullis and Roberts [1],[2] where a characterization of the reduction error is given and a previously unknown L? norm bound on the reduction error, is obtained.
Ubaid M. Al-saggaf, Gene F. Franklin
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Speech modeling via model reduction
Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings., 2003Using model reduction, a new approach for low-order speech modeling is presented. In this approach, the modeling process starts with a relatively high-order (full-order) autoregressive (AR) model obtained by some classical method. The AR model is then reduced using the a state projection method, operating in the state space.
Lahcène Mitiche +2 more
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Structuralism, Model Theory and Reduction
Synthese, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Speech Modeling via Model Reduction
International Journal of Speech Technology, 2004Using model reduction, a new approach for low-order speech modeling is presented. In this approach, the modeling process starts with a relatively high-order (full-order) autoregressive (AR) model obtained by some classical methods. The AR model is then reduced using the state projection method, operating in the state space. The model reduction yields a
Lahcène Mitiche, Daoud Berkani
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Model Reduction in the Computational Modeling of Reaction Systems
Journal of Chemical Information and Computer Sciences, 1997The underlying assumption for most lumping techniques is that the reduced models must be valid for the entire composition space. This is a harsh requirement that often limits the models that are generated. The scheme that is presented here uses the inherent structure of reaction systems to divide the composition space into regions.
Ronald G. Forsythe Jr. +1 more
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