Zielona Gora, Poland

University of Zielona Gora

www.uz.zgora.pl
Zielona Gora, Poland

The University of Zielona Góra was founded on 1 September 2001 as a result of a merger between Zielona Góra's Pedagogical University, which was founded in 1971 and Technical University, which was founded in 1965. It is one of the youngest universities in Poland. Main buildings are located in two campuses: "A" on Podgórna street and "B" on Wojska Polskiego street. The President's office is located near the Old Town on Licealna street. Wikipedia.

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Grant
Agency: European Commission | Branch: FP7 | Program: MC-ITN | Phase: FP7-PEOPLE-2011-ITN | Award Amount: 3.89M | Year: 2012

The objectives of the proposal are: - To introduce ESRs and ERsto a range of astrodynamical concepts and problems and the relevant new mathematical theories and techniques. To develop their expertise in a number of these fields and to train them to conduct research, collaborate, and communicate their results. - To deepen and and broaden the knowledge and skills of ERs working in the areas of astrodynamics and dynamical systems theory. To encourage the more mathematical scientists to apply their skills to spacecraft dynamics and control, and the more applied scientists to apply new ideas and theories from mathematics to their problems - To provide both ESRs and ERs with the complementary communications and project management skills that are needed, in addition to scientific skills, for a successful career in either an academic or a non-academic enviroment.


Grant
Agency: European Commission | Branch: H2020 | Program: SGA-CSA | Phase: INNOVATION | Award Amount: 66.50K | Year: 2015

The objective of the project is to contribute to and enhance the innovation potential and innovation management skills within the SMEs in the West Poland area. The project will follow a developed methodology to help the regional businesses to increase their innovation capacity and to innovate profitably. The project will be implemented via 2 specific schemes: 1) Service Key account management for SME Instrument beneficiaries. This service will be aimed at SMEs which will be successful in applying for the SME Instrument Programme under the Horizon 2020 (Phase I or Phase II). Upon the receipt of the information (potential beneficiarys contact details) from the EC/EASME, the project partner will contact the potential beneficiary in order to explain the service and convince the SME to use the potential it offers. 2) Service: Enhancing the innovation management capacity of SMEs. This service will be aimed at promising SMEs capable of growth and successful internationalisation that have real potential for innovation via proper development of their products, processes, services or business model but who lack the right skills, knowledge and experience to manage the innovation activities. The aim of this scheme is to first of all support those SMEs in order to make them unlock their potential for better management of the processes linked to innovation. The project will be implemented as a testing phase from January 2015 until December 2016.


Urbanowski K.,University of Zielona Gora
Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics | Year: 2014

Late time properties of moving relativistic particles are studied. Within the proper relativistic treatment of the problem we find decay curves of such particles and we show that late time deviations of the survival probability of these particles from the exponential form of the decay law, that is the transition times region between exponential and non-exponential form of the survival amplitude, occur much earlier than it follows from the classical standard approach boiled down to replace time t by t/γL (where γL is the relativistic Lorentz factor) in the formula for the survival probability. The consequence is that fluctuations of the corresponding decay curves can appear much earlier and much more unstable particles have a chance to survive up to these times or later. It is also shown that fluctuations of the instantaneous energy of the moving unstable particles have a similar form as the fluctuations in the particle rest frame but they are seen by the observer in his rest system much earlier than one could expect replacing t by t/γL in the corresponding expressions for this energy and that the amplitude of these fluctuations can be even larger than it follows from the standard approach. All these effects seem to be important when interpreting some accelerator experiments with high energy unstable particles and the like (possible connections of these effects with GSI anomaly are analyzed) and some results of astrophysical observations. © 2014 The Author.


Mrugalski M.,University of Zielona Gora
International Journal of Applied Mathematics and Computer Science | Year: 2013

This paper presents an identification method of dynamic systems based on a group method of data handling approach. In particular, a new structure of the dynamic multi-input multi-output neuron in a state-space representation is proposed. Moreover, a new training algorithm of the neural network based on the unscented Kalman filter is presented. The final part of the work contains an illustrative example regarding the application of the proposed approach to robust fault detection of a tunnel furnace.


Malinowski M.T.,University of Zielona Gora
Information Sciences | Year: 2013

We consider stochastic fuzzy differential equations driven by m-dimensional Brownian motion. Such equations can be useful in modeling of hybrid dynamic systems, where the phenomena are subjected to two kinds of uncertainties: randomness and fuzziness, simultaneously. Under a boundedness condition, which is weaker than linear growth condition, and the Lipschitz condition we obtain existence and uniqueness of solution to stochastic fuzzy differential equations. Solutions, which are fuzzy stochastic processes, and their uniqueness are considered to be in a strong sense. An estimation of error of the Picard approximate solution is established. We give a boundedness type result for the solution defined on finite time interval. Also the stabilities of solution on initial condition and coefficients of the equation are shown. The existence and uniqueness of a solution defined on infinite time interval is proven. Finally, some applications of fuzzy stochastic differential equations are considered. All the results presented in this paper apply to set-valued stochastic differential equations. © 2012 Published by Elsevier Inc.


Szczesniak P.,University of Zielona Gora
Electric Power Systems Research | Year: 2014

The determination of a converter's passive elements and loadability margin for various load and power grid conditions is of great importance to the proper operation of matrix-reactance frequency converters. The modulation strategy of power switches is very important to the voltage gain and input power factor control. The space vector modulation is the most commonly used algorithm for the control of three-phase power converters. In this paper the average-state space method and the two-frequency d-q transformation are proposed as aids in the process of fast verification of the matrix-reactance frequency converter operation under specific conditions. The experimental verification of the proposed model is also presented. © 2013 Elsevier B.V. All rights reserved.


Malinowski M.T.,University of Zielona Gora
Systems and Control Letters | Year: 2012

In the paper we give some foundations for the studies of stochastic fuzzy delayed differential equations. We prove the existence and uniqueness of solutions to such the equations. To obtain our result we assume that the coefficients of the equation satisfy the Lipschitz condition together with linear growth condition. We estimate the distance between approximate solution and exact solution. Also the stability of solution with respect to the initial history is shown. An application of stochastic fuzzy delayed differential equations in the modeling of population growth is indicated. © 2012 Elsevier B.V. All rights reserved.


Malinowski M.T.,University of Zielona Gora
Information Sciences | Year: 2012

In this paper we consider interval differential equations. Such the equations can be appropriate in modeling of dynamical systems under presence of uncertainty of parameters. We study an interval initial value problem with a second type Hukuhara derivative. By an example of real-world application we indicate the advantages of the usage of such a kind of interval-valued derivative. A continuous dependence of the solution on initial value and right-hand side of the equation is shown. The existence of approximate local solutions is proven, and then it is used in the derivation of existence of at least one local solution to interval Cauchy problem with second type Hukuhara derivative. The compactness of solutions set is also stated. Finally, the explicit formulae for local solutions to linear interval differential equations are provided. © 2012 Elsevier Inc. All rights reserved.


Malinowski M.T.,University of Zielona Gora
Mathematical and Computer Modelling | Year: 2012

In the paper we consider the fuzzy stochastic integrals and give some of their properties. Then we study the existence of solutions to the stochastic fuzzy differential equations driven by multidimensional Brownian motion. The solutions and their uniqueness are considered to be in a strong sense. © 2011 Elsevier Ltd.


Malinowski M.T.,University of Zielona Gora
Nonlinear Analysis: Real World Applications | Year: 2012

We present the studies on two kinds of solutions to random fuzzy differential equations (RFDEs). The different types of solutions to RFDEs are generated by the usage of two different concepts of fuzzy derivative in the formulation of a differential problem. Under generalized Lipschitz condition, the existence and uniqueness of both kinds of solutions to RFDEs are obtained. We show that solutions (of the same kind) are close to each other in the case when the data of the equation did not differ much. By an example, we present an application of each type of solutions in a population growth model which is subjected to two kinds of uncertainties: fuzziness and randomness. © 2011 Elsevier Ltd. All rights reserved.

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