Results 221 to 230 of about 530,036 (269)
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2002
The modeling and simulation of physical systems is of key importance in many areas of science and engineering, and thus can benefit from high-quality software tools. In previous research we have demonstrated how functional programming can form the basis of an expressive language for causal hybrid modeling and simulation. There is a growing realization,
Henrik Nilsson +2 more
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The modeling and simulation of physical systems is of key importance in many areas of science and engineering, and thus can benefit from high-quality software tools. In previous research we have demonstrated how functional programming can form the basis of an expressive language for causal hybrid modeling and simulation. There is a growing realization,
Henrik Nilsson +2 more
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Hybrid Modeling in Computational Neuropsychiatry
Pharmacopsychiatry, 2008The aim of building mathematical models is to provide a formal structure to explain the behaviour of a whole in terms of its parts. In the particular case of neuropsychiatry, the available information upon which models are to be built is distributed over several fields of expertise.
Marin-Sanguino, A., Mendoza, E.
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Hybrid Systems Modeling and Control
European Journal of Control, 2003Piece-wise affine and mixed logical dynamical models for discrete time linear hybrid systems are reviewed. Constrained optimal control problems with linear and quadratic objective functions are defined. Some results on the structure and computation of the optimal control laws are presented.
Morari, Manfred +2 more
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A hybrid model for smoke simulation
Journal of Computer Science and Technology, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ruofeng Tong 0001, Jinxiang Dong
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Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2010
I review a class of hybrid models of neurons that combine continuous spike-generation mechanisms and a discontinuous ‘after-spike’ reset of state variables. Unlike Hodgkin–Huxley-type conductance-based models, the hybrid spiking models have a few parameters derived from the bifurcation theory; instead of matching neuronal electrophysiology, they match ...
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I review a class of hybrid models of neurons that combine continuous spike-generation mechanisms and a discontinuous ‘after-spike’ reset of state variables. Unlike Hodgkin–Huxley-type conductance-based models, the hybrid spiking models have a few parameters derived from the bifurcation theory; instead of matching neuronal electrophysiology, they match ...
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A heuristic for a hybrid fleet model
Computers & Operations Research, 1990zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Geoffrey Bianchi, Richard L. Church
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The fundamentals of hybrid systems modelers
49th IEEE Conference on Decision and Control (CDC), 2010Hybrid systems modelers have become the corner stone of embedded system development, with Simulink a de facto standard and Modelica a new player. Such tools still raise a number of issues that, we believe, require more fundamental understanding. In this paper we propose using non standard analysis as a semantic domain for hybrid systems — non standard ...
Benveniste, Albert +2 more
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Physical and hybrid models: hybrid models
2010The complexity of the circulatory system makes its analysis very difficult or sometimes impossible in clinical environment. Moreover, external actions such as mechanical circulatory or ventilatory assistance applied in cases of cardiovascular insufficiency cause the situation to be even more difficult to be analyzed.
Kozarski Maciej +4 more
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Model Checking for Hybrid Logic
Journal of Logic, Language and Information, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Nonlinear regression: a hybrid model
Computers & Operations Research, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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