Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "interval analysis" wg kryterium: Temat

  Lista filtrów
Wyrównaj
Wyświetlanie 1-15 z 31
Tytuł:
Interval analysis for certified numerical solution of problems in robotics
Autorzy:
Merlet, J. P.
Powiązania:
https://bibliotekanauki.pl/articles/930119.pdf
Data publikacji:
2009
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
analiza interwałowa
niepewność
robotyka
interval analysis
uncertainties
robotics
Opis:
Interval analysis is a relatively new mathematical tool that allows one to deal with problems that may have to be solved numerically with a computer. Examples of such problems are system solving and global optimization, but numerous other problems may be addressed as well. This approach has the following general advantages: (a) it allows to find solutions of a problem only within some finite domain which make sense as soon as the unknowns in the problem are physical parameters; (b) numerical computer round-off errors are taken into account so that the solutions are guaranteed; (c) it allows one to take into account the uncertainties that are inherent to a physical system. Properties (a) and (c) are of special interest in robotics problems, in which many of the variables are parameters that are measured (i.e., known only up to some bounded errors) while the modeling of the robot is based on parameters that are submitted to uncertainties (e.g., because of manufacturing tolerances). Taking into account these uncertainties is essential for many robotics applications such as medical or space robotics for which safety is a crucial issue. A further inherent property of interval analysis that is of interest for robotics problems is that this approach allows one to deal with the uncertainties that are unavoidable in robotics. Although the basic principles of interval analysis are easy to understand and to implement, this approach will be efficient only if the right heuristics are used and if the problem at hand is formulated appropriately. In this paper we will emphasize various robotics problems that have been solved with interval analysis, many of which are currently beyond the reach of other mathematical approaches.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2009, 19, 3; 399-412
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zastosowanie analizy przedziałowej do szacowania zasobów węglowodorów przy słabym rozpoznaniu własności złoża
Hydrocarbons reserves estimation for fields in early stage of development with application of interval analysis
Autorzy:
Wojnarowski, P.
Powiązania:
https://bibliotekanauki.pl/articles/299638.pdf
Data publikacji:
2010
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
analiza przedziałowa
symulacja Monte Carlo
określanie zasobów
interval analysis
Monte Carlo simulation
reserves estimation
Opis:
W trakcie prac mających na celu zagospodarowanie nowo odkrytego złoża bardzo istotne jest właściwe oszacowanie jego zasobów. Niestety we wczesnej fazie rozpoznania informacja złożowa jest bardzo uboga. Uniemożliwia to zastosowanie wielu klasycznych narzędzi służących do określania potencjalnych zasobów złoża. W pracy przedstawiono zastosowanie algebry przedziałowej do szacowania zasobów gazu ziemnego metodą objętościową. Podejście to pozwala na określenie zakresu możliwych zasobów złoża nawet w przypadku niewielkiej ilości danych wejściowych. Wyniki analizy porównano z rezultatami uzyskanymi za pomocą symulacji Monte Carlo.
Reliable prediction of the hydrocarbon reserves is essential for the optimization of development plans for oil and gas reservoirs. The uncertainty of the in-place volumes determination may have a direct impact on important economical decisions. In the early exploration phase, when 1 to 2 exploration wells have been drilled, we have usually limited information about reservoir's properties and main difficulty in reservoir description is use of classical tools for reservoir analysis. In this work application of interval analysis for reserves estimation with volumetric method is presented. This method allows to estimate reserves also in case of lack of data. Results obtained from presented methodology were compared with Monte Carlo simulation results. Advantages and limitations of those two methods were discussed.
Źródło:
Wiertnictwo, Nafta, Gaz; 2010, 27, 4; 781-787
1507-0042
Pojawia się w:
Wiertnictwo, Nafta, Gaz
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Reliable robust path planning with application to mobile robots
Autorzy:
Pepy, R.
Kieffer, M.
Walter, E.
Powiązania:
https://bibliotekanauki.pl/articles/930096.pdf
Data publikacji:
2009
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
analiza interwałowa
planowanie trajektorii
sterowanie odporne
interval analysis
path planning
robust control
state-space models
Opis:
This paper is devoted to path planning when the safety of the system considered has to be guaranteed in the presence of bounded uncertainty affecting its model. A new path planner addresses this problem by combining Rapidly-exploring Random Trees (RRT) and a set representation of uncertain states. An idealized algorithm is presented first, before a description of one of its possible implementations, where compact sets are wrapped into boxes. The resulting path planner is then used for nonholonomic path planning in robotics.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2009, 19, 3; 413-424
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
P1-TS fuzzy scheduling control system design using local pole placement and interval analysis
Autorzy:
Smoczek, J.
Powiązania:
https://bibliotekanauki.pl/articles/199816.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
P1-TS fuzzy system
scheduling control
LPV discrete-time system
local pole placement
interval analysis
Opis:
The linear parameter-varying (LPV) discrete-time model based design of a fuzzy scheduling control scheme is developed through incorporating the advantages of P1-TS theory, and applying the local pole placement method and interval analysis of closed-loop system polynomial coefficients. The synthesis of fuzzy scheduling control scheme is proposed in the form of iterative procedure, which enables to find the appropriate number of intervals of a fuzzy interpolator ensuring that a family of local linear controllers places closed-loop polynomial coefficients within a desired range. The computational complexity of multidimensional fuzzy scheduling control scheme synthesis is reduced using a fundamental matrix method and recursive procedure for fuzzy rule-based interpretation. The usability of the proposed method is illustrated by an implementation example and experimental results obtained on a laboratory scaled overhead crane.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2014, 62, 3; 455-464
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Verified solution method for population epidemiology models with uncertainty
Autorzy:
Enszer, J. A.
Stadtherr, M. A.
Powiązania:
https://bibliotekanauki.pl/articles/930132.pdf
Data publikacji:
2009
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
dynamika nieliniowa
epidemiologia
analiza interwałowa
równanie różniczkowe
nonlinear dynamics
epidemiology
interval analysis
verified computing
ordinary differential equations
Opis:
Epidemiological models can be used to study the impact of an infection within a population. These models often involve parameters that are not known with certainty. Using a method for verified solution of nonlinear dynamic models, we can bound the disease trajectories that are possible for given bounds on the uncertain parameters. The method is based on the use of an interval Taylor series to represent dependence on time and the use of Taylor models to represent dependence on uncertain parameters and/or initial conditions. The use of this method in epidemiology is demonstrated using the SIRS model, and other variations of Kermack-McKendrick models, including the case of time-dependent transmission.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2009, 19, 3; 501-512
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An interval Kalman filter enhanced by lowering the covariance matrix upper bound
Autorzy:
Tran, Tuan Anh
Jauberthie, Carine
Trave-Massuyés, Louise
Lu, Quoc Hung
Powiązania:
https://bibliotekanauki.pl/articles/1838206.pdf
Data publikacji:
2021
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
uncertain linear systems
Kalman filter
interval analysis
estimation
covariance matrix
układ liniowy
filtr Kalmana
analiza interwałowa
macierz kowariancji
Opis:
This paper proposes a variance upper bound based interval Kalman filter that enhances the interval Kalman filter based on the same principle proposed by Tran et al. (2017) for uncertain discrete time linear models. The systems under consideration are subject to bounded parameter uncertainties not only in the state and observation matrices, but also in the covariance matrices of the Gaussian noises. By using the spectral decomposition of a symmetric matrix and by optimizing the gain matrix of the proposed filter, we lower the minimal upper bound on the state estimation error covariance for all admissible uncertainties. This paper contributes with an improved algorithm that provides a less conservative error covariance upper bound than the approach proposed by Tran et al. (2017). The state estimates are determined using interval analysis in order to enclose the set of all possible solutions of the classical Kalman filter consistent with the uncertainties.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2021, 31, 2; 259-269
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Towards robust predictive fault-tolerant control for a battery assembly system
Autorzy:
Seybold, L.
Witczak, M.
Majdzik, P.
Stetter, R.
Powiązania:
https://bibliotekanauki.pl/articles/330359.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
max-plus algebra
interval analysis
battery assembly
model predictive control
fault tolerant control
analiza interwałowa
sterowanie predykcyjne
sterowanie tolerujące uszkodzenia
Opis:
The paper deals with the modeling and fault-tolerant control of a real battery assembly system which is under implementation at the RAFI GmbH company (one of the leading electronic manufacturing service providers in Germany). To model and control the battery assembly system, a unified max-plus algebra and model predictive control framework is introduced. Subsequently, the control strategy is enhanced with fault-tolerance features that increase the overall performance of the production system being considered. In particular, it enables tolerating (up to some degree) mobile robot, processing and transportation faults. The paper discusses also robustness issues, which are inevitable in real production systems. As a result, a novel robust predictive fault-tolerant strategy is developed that is applied to the battery assembly system. The last part of the paper shows illustrative examples, which clearly exhibit the performance of the proposed approach.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2015, 25, 4; 849-862
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Dynamical complexity of human responses: a multivariate data-adaptive framework
Autorzy:
Ahmed, M.
Rehman, N.
Looney, D.
Rutkowski, T.
Mandic, D.
Powiązania:
https://bibliotekanauki.pl/articles/201559.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
multivariate sample entropy
multivariate empirical mode decomposition (MEMD)
multivariate multiscale entropy
complexity analysis
multivariate complexity
postural sway analysis
stride interval analysis
brain consciousness analysis
alpha-attenuated EEG data
Opis:
Established complexity measures typically operate at a single scale and thus fail to quantify inherent long-range correlations in real-world data, a key feature of complex systems. The recently introduced multiscale entropy (MSE) method has the ability to detect fractal correlations and has been used successfully to assess the complexity of univariate data. However, multivariate observations are common in many real-world scenarios and a simultaneous analysis of their structural complexity is a prerequisite for the understanding of the underlying signal-generating mechanism. For this purpose, based on the notion of multivariate sample entropy, the standard MSE method is extended to the multivariate case, whereby for rigor, the intrinsic multivariate scales of the input data are generated adaptively via the multivariate empirical mode decomposition (MEMD) algorithm. This allows us to gain better understanding of the complexity of the underlying multivariate real-world process, together with more degrees of freedom and physical interpretation in the analysis. Simulations on both synthetic and real-world biological multivariate data sets support the analysis.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2012, 60, 3; 433-445
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Bayesian interval Estimation of Sharpe Style Weights in the Model of Style Analysis of the Management of Open Pension Funds
Metoda bayesowska w estymacji przedziałowej wag styli Sharpe’a w modelu analizy styli OFE
Autorzy:
Orwat, Agnieszka
Powiązania:
https://bibliotekanauki.pl/articles/906269.pdf
Data publikacji:
2009
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
Sharpe Style Analysis
Bayesian confidence interval
highest posteriori density interval
Open Pension Fund
Opis:
Polskie Otwarte Fundusze Emerytalne (OFE) dokonują inwestycji w pochodzące z różnych sektorów aktywa o odmiennych stopniach ryzyka zgodnie z Ustawą o Organizacji i Funkcjonowaniu Funduszy Emerytalnych z dnia 28 sierpnia 1997 roku. Ponieważ efektywność inwestycji w poszczególnych sektorach jest zróżnicowana, trudno jest odróżnić zyski wynikające z dokonanego wyboru między sektorami od zysków wynikających z wyboru konkretnych aktywów w ramach danego sektora. Analiza stylu opracowana przez Williama Sharpe’a, jest metodą przypisywania wyników zarządzania portfelem aktywów, umożliwiającą formułowanie wniosków’ na temat wpływów wywieranych na portfele inwestycyjne funduszy oraz stylów zarządzania nimi. Konsekwencją obecności ograniczeń nałożonych na parametry modelu analizy stylu Sharpe’a jest fakt, że rozklad estymatora metody najmniejszych kwadratów wag stylu nie jest znany. Celem pracy jest implementacja metody bayesowskiej w estymacji przedziałowej wag stylu Sharpe’a na przykładzie modelu analizy stylu zarządzania wybranego OFE.
According to the Law on the Organization and Functioning of the Retirement Pay and Pension Funds of 28 August 1997, the Polish Open Pension Funds (OPFs) invest in assets carrying different degrees of risk, from different sectors. Since the investment effectiveness varies between sectors, it is difficult to distinguish the profits which result from the choice o f particular sectors from the profits earned from the choice of the assets within a given sector. Style analysis, developed by William Sharpe, is a method of identifying results of the assets portfolio management which allows to form conclusions on the influences exerted on the investment portfolios of the funds and their investment management styles. The restrictions imposed on the parameters of Sharpe style analysis result in the fact that the distribution of the estimator of the Ordinary Least Squares Method (OLS) is unknown. The aim of this paper is to implement the Bayesian method in the interval estimation of Sharpe style weights based on the model of the style analysis o f the management of a selected OPF.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2009, 228
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modeling of thermal processes proceeding in a 1D domain of crystalline solids using the lattice Boltzmann method with an interval source function
Autorzy:
Piasecka-Belkhayat, A.
Korczak, A.
Powiązania:
https://bibliotekanauki.pl/articles/281185.pdf
Data publikacji:
2017
Wydawca:
Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:
lattice Boltzmann method
directed interval arithmetics
sensitivity analysis
Opis:
The interval lattice Boltzmann method (ILBM) with an uncertainly defined internal heat source function is used to simulate heat transfer in a thin silicone film. The solution to the interval Boltzmann transport equations has been obtained taking into account the rules of directed interval arithmetics. A similar analysis has been done using the sensitivity model where the Boltzmann transport equations and boundary-initial conditions have been differentiated with respect to the no-interval heat source value. The knowledge of the sensitivity function distribution and the application of the Taylor formula allow one to find the border solutions of the problem analyzed, which (to some extent) correspond to the solution obtained under the assumption of the uncertainly defined source function. In the final part of the paper, numerical computations obtained for both methods are presented.
Źródło:
Journal of Theoretical and Applied Mechanics; 2017, 55, 1; 167-175
1429-2955
Pojawia się w:
Journal of Theoretical and Applied Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Statistical analysis of interval and imprecise data : applications in the analysis of reliability field data
Autorzy:
Hryniewicz, O.
Powiązania:
https://bibliotekanauki.pl/articles/2069621.pdf
Data publikacji:
2007
Wydawca:
Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
Tematy:
reliability
statistical analysis
field data
interval data
fuzzy data
Opis:
The analysis of field lifetime data is much more complicated than the analysis of the results of reliability laboratory tests. In the paper we present an overview of the most important problems of the statistical analysis of field lifetime data, and present their solutions known from literature. When the input information is partial or imprecise, we propose to use interval arithmetics for the calculation of bounds on reliability characteristics of interest. When this information can be described in a more informative fuzzy form, we can generalize our interval-valued results to their fuzzy equivalents.
Źródło:
Journal of Polish Safety and Reliability Association; 2007, 1; 181--192
2084-5316
Pojawia się w:
Journal of Polish Safety and Reliability Association
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Regresja logistyczna dla danych symbolicznych interwałowych
Logistic regression for interval-valued symbolic data
Autorzy:
Pełka, Marcin
Powiązania:
https://bibliotekanauki.pl/articles/424986.pdf
Data publikacji:
2015
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
logistic regression
interval-valued symbolic variables
symbolic data analysis
Opis:
When dealing with real data situation we often have a binary (biomial, dichoto-mous) dependent variable. As the linear probability model is not such a good solution in such a situation there is a need to use nonlinear models. A quite good solution for such a sit-uation is the logistic regression model. The paper presents an adaptation of linear regression model when dealing with symbolic interval-valued variables. Four approaches poposed by de Souza et. al [2011] how to apply such variables are presented. In the empirical part re-sults obtained with the application of artificial and real data sets are shown. The best results are obtained for midpoint and bounds (joint estimation) methods.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2015, 2 (48); 44-52
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Sensitivity Analysis of the Estimation of the Single-Number Sound Absorption Evaluation Index DLα
Autorzy:
Batko, W.
Pawlik, P.
Wszołek, G.
Powiązania:
https://bibliotekanauki.pl/articles/176445.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
sensitivity analysis
acoustic barriers
interval arithmetic
Monte Carlo method
Opis:
Acoustic barriers are assigned to the respective categories of sound absorbing properties on the basis of a single-number sound absorption evaluation index. Categories of absorbing properties play a significant role in selecting the barrier type for the given localisation. The estimation of the single-number sound absorption evaluation index is performed, among others, by means of measuring the sound absorption coefficient of the analysed acoustic barrier sample in the reverberation chamber. The sensitivity analysis of the determination of the single-number sound absorption evaluation index was performed in this work. The estimation of the input parameters uncertainty contribution to the expanded uncertainty of the sound absorption evaluation index, was done first. The Monte Carlo method and the reduction interval arithmetic were used for this aim. The relative sensitivity coefficients were determined by means of the author’s method based on the interval arithmetic. These coefficients contain information concerning the quantitative influence of the given input value on the final result.
Źródło:
Archives of Acoustics; 2017, 42, 4; 689-696
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Regression analysis for interval-valued symbolic data versus noisy variables and outliers
Regresja liniowa danych symbolicznych a zmienne zakłócające i obserwacje odstające
Autorzy:
Pełka, Marcin
Dudek, Andrzej
Powiązania:
https://bibliotekanauki.pl/articles/425104.pdf
Data publikacji:
2016
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
regression analysis
interval-valued symbolic data
noisy variables
outliers
Opis:
Regression analysis is perhaps the best known and most widely used method used for the analysis of dependence; that is, for examining the relationship between a set of independent variables (X’s) and a single dependent variable (Y). In general regression, the model is a linear combination of independent variables that corresponds as closely as possible to the dependent variable [Lattin, Carroll, Green 2003, p. 38]. The aim of the article is to present two suitable adaptations for a regression analysis of symbolic interval-valued data (centre method and centre and range method) and to compare their usefulness when dealing with noisy variables and/or outliers. The empirical part of the paper presents the results of simulation studies based on artificial and real data, without noisy variables and/or outliers and with noisy variable and outliers. The results are compared according to the values of two coefficients of determination 2 RL and 2 . RU The results show that usually the centre and range method obtains better results even when the data set contains noisy variables and outliers, but in some cases the centre method obtains better results than the centre and range method.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2016, 2 (52); 35-42
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Set arithmetic and the enclosing problem in dynamics
Autorzy:
Mrozek, Marian
Zgliczyński, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/1207977.pdf
Data publikacji:
2000
Wydawca:
Polska Akademia Nauk. Instytut Matematyczny PAN
Tematy:
dynamical systems
interval arithmetic
rigorous numerical analysis
enclosing problem
Opis:
We study the enclosing problem for discrete and continuous dynamical systems in the context of computer assisted proofs. We review and compare the existing methods and emphasize the importance of developing a suitable set arithmetic for efficient algorithms solving the enclosing problem.
Źródło:
Annales Polonici Mathematici; 2000, 74, 1; 237-259
0066-2216
Pojawia się w:
Annales Polonici Mathematici
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 31

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies