Results of short-period helicopter system identification using output-error and hybrid search-gradient optimization algorithm.
Cruz, Ronaldo Vieira, Góes, Luiz Carlos Sandoval (2010)
Mathematical Problems in Engineering
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Displaying similar documents to “Robust parameter design using the weighted metric method - The case of 'the smaller the better'”
Results of short-period helicopter system identification using output-error and hybrid search-gradient optimization algorithm.
Contribution to prior tuning of LQG selftuners
Miroslav Kárný, Tomáš Jeníček, Werner Ottenheimer (1990)
Kybernetika
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Sensor network design for the estimation of spatially distributed processes
Dariusz Uciński, Maciej Patan (2010)
International Journal of Applied Mathematics and Computer Science
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In a typical moving contaminating source identification problem, after some type of biological or chemical contamination has occurred, there is a developing cloud of dangerous or toxic material. In order to detect and localize the contamination source, a sensor network can be used. Up to now, however, approaches aiming at guaranteeing a dense region coverage or satisfactory network connectivity have dominated this line of research and abstracted away from the mathematical description...
Design of linear quadratic adaptive control: theory and algorithms for practice
Miroslav Kárný, Alena Halousková, Josef Böhm, Rudolf Kulhavý, Petr Nedoma (1985)
Kybernetika
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Nonlinear state observers and extended Kalman filters for battery systems
Andreas Rauh, Saif S. Butt, Harald Aschemann (2013)
International Journal of Applied Mathematics and Computer Science
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The focus of this paper is to develop reliable observer and filtering techniques for finite-dimensional battery models that adequately describe the charging and discharging behaviors. For this purpose, an experimentally validated battery model taken from the literature is extended by a mathematical description that represents parameter variations caused by aging. The corresponding disturbance models account for the fact that neither the state of charge, nor the above-mentioned parameter...
Sensor network scheduling for identification of spatially distributed processes
Dariusz Uciński (2012)
International Journal of Applied Mathematics and Computer Science
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The work treats the problem of fault detection for processes described by partial differential equations as that of maximizing the power of a parametric hypothesis test which checks whether or not system parameters have nominal values. A simple node activation strategy is discussed for the design of a sensor network deployed in a spatial domain that is supposed to be used while detecting changes in the underlying parameters which govern the process evolution. The setting considered relates...
Planning identification experiments for cell signaling pathways: An NFκB case study
Krzysztof Fujarewicz (2010)
International Journal of Applied Mathematics and Computer Science
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Mathematical modeling of cell signaling pathways has become a very important and challenging problem in recent years. The importance comes from possible applications of obtained models. It may help us to understand phenomena appearing in single cells and cell populations on a molecular level. Furthermore, it may help us with the discovery of new drug therapies. Mathematical models of cell signaling pathways take different forms. The most popular way of mathematical modeling is to use...