Control by Pyragas method with variable delay: from simple models to experiments

2014 ◽  
Vol 1 ◽  
pp. 679-682
Author(s):  
Aleksandar Gjurchinovski ◽  
Thomas Jüngling ◽  
Viktor Urumov
Keyword(s):  
Nature ◽  
2020 ◽  
Vol 589 (7840) ◽  
pp. 26-28
Author(s):  
Kevin C. Ma ◽  
Marc Lipsitch
Keyword(s):  
Big Data ◽  

2013 ◽  
Vol E96.C (6) ◽  
pp. 920-922 ◽  
Author(s):  
Kiichi NIITSU ◽  
Naohiro HARIGAI ◽  
Takahiro J. YAMAGUCHI ◽  
Haruo KOBAYASHI

2020 ◽  
Vol 32 (3) ◽  
pp. 221-236
Author(s):  
Ryo Kurimoto ◽  
Kosuke Hayashi ◽  
Akio Tomiyama
Keyword(s):  

1983 ◽  
Vol 22 (2) ◽  
pp. 63-71 ◽  
Author(s):  
Henk C. Bos

The revival of interest in using models for developing countries for planning and policy advice makes it desirable to draw lessons from past experience. Simple models, focussed on specific issues, are to be preferred to large and comprehensive models. More empirical research is needed on supply and production functions for developing countries. Not statistical criteria but developmental considerations must determine the conclusions to be drawn from models. More explicit explanations of assumptions and modesty in presenting results of modelling work to policy makers are desirable.


2003 ◽  
Vol 56 ◽  
pp. 61-65
Author(s):  
J.A. Zabkiewicz ◽  
W.A. Forster

Pesticide uptake into plants is typically reported as percentage uptake of the amount applied but in studies of the mechanism of cuticular penetration this approach has not been helpful It can be shown that relating percentage uptake to initial dose of bentazone applied to Vicia faba foliage cannot provide pertinent relationships that can be used to explain cuticular uptake mechanisms However applying the principles of Ficks Law and using mass or molar quantities does provide excellent linear relationships between mass uptake and initial dose applied Universal equations can be derived that relate dose uptake to initial dose applied onto plant leaves


Author(s):  
Vitaly P. Kosyakov ◽  
Amir A. Gubaidullin ◽  
Dmitry Yu. Legostaev

This article presents an approach aimed at the sequential application of mathematical models of different complexity (simple to complex) for modeling the development of a gas field. The proposed methodology allows the use of simple models as regularizers for the more complex ones. The main purpose of the applied mathematical models is to describe the energy state of the reservoir — reservoir pressure. In this paper, we propose an algorithm for adapting the model, which allows constructing reservoir pressure maps for the gas field, as well as estimating the dynamics of reservoir pressure with a possible output for determining the position of the gas-water contact level.


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