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Global stability of linearizing control with a new robust nonlinear observer of the induction motor

100%
Chenafa M., Mansouri A., Bouhenna A., Etien E., Belaidi A., Denai M. A.
International Journal of Applied Mathematics and Computer Science
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2005
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tom 15
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nr 2
235-243
EN
This paper mainly deals with the design of an advanced control law with an observer for a special class of nonlinear systems. We design an observer with a gain as a function of speed. We study the solution to the output feedback torque and rotor flux-tracking problem for an induction motor model given in the natural frame. We propose a new robust nonlinear observer and prove the global stability of the interlaced controller-observer system. The control algorithm is studied through simulations and applied in many configurations (various set points, flux and speed profiles and torque disturbances), and is shown to be very efficient.
2
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Differential conditions to verify the Jacobian Conjecture

100%
Drużkowski L., Tutaj H.
Annales Polonici Mathematici
|
1992
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tom 57
|
nr 3
253-263
EN
Let F be a polynomial mapping of ℝ², F(O) = 0. In 1987 Meisters and Olech proved that the solution y(·) = 0 of the autonomous system of differential equations ẏ = F(y) is globally asymptotically stable provided that the jacobian of F is everywhere positive and the trace of the matrix of the differential of F is everywhere negative. In particular, the mapping F is then injective. We give an n-dimensional generalization of this result.
3
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Some remarks on modelling of drug resistance for low grade gliomas

88%
Bodnar M., Foryś U.
Mathematica Applicanda
|
2019
|
tom 47
|
nr 2
PL
W artykule analizujemy nową wersję modelu opisującego efekt nabytej lekooporności, który zaproponowaliśmy w pracy Bodnar & Foryś (2017). Oryginalny model powstał w oparciu o idee przedstawione w artykule Pérez-García i in. (2015). W bieżącej pracy włączamy do modelu dodatkowy składnik opisujący bezpośrednią śmiertelność komórek uszkodzonych. Okazuje się, że dynamika tak zmienionego modelu jest analogiczna, jak w przypadku drugiego modelu rozważanego przez nas, który z kolei powstał w oparciu o idee Olliera i in. (2017). Dynamika modelu została przeanalizowana dla parametrów odzwierciedlających wzrost glejaka niskiego stopnia, przy czym analizowaliśmy wpływ zmian poszczególnych parametrów na tę dynamikę.
EN
In this paper we present a version of a simple mathematical model of acquiring drug resistance which was proposed in Bodnar and Foryś (2017). We based the original model on the idea coming from Pérez-García et al. (2015). Now, we include the explicit death term into the system and show that the dynamics of the new version of the model is the same as the dynamics of the second model considered by us and based on the idea of Ollier et al. (2017). We discuss the model dynamics and its dependence on the model parameters on the example of gliomas.
4
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Stochastic multivariable self-tuning tracker for non-gaussian systems

75%
Filipovic V.
International Journal of Applied Mathematics and Computer Science
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2005
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tom 15
|
nr 3
351-357
EN
This paper considers the properties of a minimum variance self-tuning tracker for MIMO systems described by ARMAX models. It is assumed that the stochastic noise has a non-Gaussian distribution. Such an assumption introduces into a recursive algorithm a nonlinear transformation of the prediction error. The system under consideration is minimum phase with different dimensions for input and output vectors. In the paper the concept of Kronecker's product is used, which allows us to represent unknown parameters in the form of vectors. For parameter estimation a stochastic approximation algorithm is employed. Using the concept of the stochastic Lyapunov function, global stability and optimality of the feedback system are established.
5
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Logistic equations in tumour growth modelling

63%
Foryś U., Marciniak-Czochra A.
International Journal of Applied Mathematics and Computer Science
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2003
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tom 13
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nr 3
317-325
EN
The aim of this paper is to present some approaches to tumour growth modelling using the logistic equation. As the first approach the well-known ordinary differential equation is used to model the EAT in mice. For the same kind of tumour, a logistic equation with time delay is also used. As the second approach, a logistic equation with diffusion is proposed. In this case a delay argument in the reaction term is also considered. Some mathematical properties of the presented models are studied in the paper. The results are illustrated using computer simulations.
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