Výsledky vědy a výzkumu
Zobrazeny výsledky 376–390 z 2086
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[nazev] => Řešení diferenciálních a diferenčních rovnic metodou Z - transformace
[nazev_orig] => Řešení diferenciálních a diferenčních rovnic metodou Z - transformace
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[popis] => První část příspěvku se zabývá diskretizací diferenciálních rovnic přibližnými metodami, které využívající různých aproximací jako je náhrada derivací diferencemi. V diferenciální rovnici se nahradí derivace proměnných jejich diferencemi a tím se převedou diferenciální rovnice na diferenční. Druhá část pak pojednává o jedné z méně používaných metod pro řešení diferenčních rovnic a to použitím z-transformace. Tato část obsahuje i převáděcí vztahy z Laplaceových přenosů na z- přenosy a vhodný slovník pro zpětnou z-transformaci.
[popis_orig] => První část příspěvku se zabývá diskretizací diferenciálních rovnic přibližnými metodami, které využívající různých aproximací jako je náhrada derivací diferencemi. V diferenciální rovnici se nahradí derivace proměnných jejich diferencemi a tím se převedou diferenciální rovnice na diferenční. Druhá část pak pojednává o jedné z méně používaných metod pro řešení diferenčních rovnic a to použitím z-transformace. Tato část obsahuje i převáděcí vztahy z Laplaceových přenosů na z- přenosy a vhodný slovník pro zpětnou z-transformaci.
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[citace_text] => ŠVARC, I. Řešení diferenciálních a diferenčních rovnic metodou Z - transformace. In 3rd International Conference Aplimat. Bratislava: Slovak University of Technology in Bratislava, 2004. 9 s. ISBN: 80-227-1995-1.
[citace_html] => ŠVARC, I. Řešení diferenciálních a diferenčních rovnic metodou Z - transformace. In 3rd International Conference Aplimat. Bratislava: Slovak University of Technology in Bratislava, 2004. 9 s. ISBN: 80-227-1995-1.
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booktitle="3rd International Conference Aplimat",
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publisher="Slovak University of Technology in Bratislava",
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[nazev_en] => Solution of Differential and Difference Equations by Z - Transform
[popis_en] => The first part of contribution contains discretizing the differential equations. Difference equations can also be obtained by discretizing differential equations Here a first order differential is approximated by a first order difference, a second order differential by a second order difference, etc. The second part of contribution offers solution of difference equations by z-transform. It solves the link between s and z. It contains the special z-transform table for inverse z-transform.
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[nazev_orig] => Solutions of Continuous-Time Systems by the Discrete Methods
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[popis] => Discretization is necessary for the analysis and design of discrete-time systems. It is also useful for simulating continuous-time control systems on the digital computer. One of the simplest ways of discretizing or approximating a continuous-time plant is numerical approximation of differential equations. Difference equations can be obtained by discretizing differential equations – it is the first part of this contribution. The other way of discretization is discretization by z transformation of transfer function G(s). In this contribution is shown Euler’s method and bilinear method of this transformation.
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[identifikator] => ISBN 9958-617-21-8
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[citace_text] => ŠVARC, I. Solutions of Continuous-Time Systems by the Discrete Methods. In Trends in the Development of Machinery and Associated Technology. Zenica: DOM STAMPE Zenica, 2004. 5 p. ISBN: 9958-617-21-8.
[citace_html] => ŠVARC, I. Solutions of Continuous-Time Systems by the Discrete Methods. In Trends in the Development of Machinery and Associated Technology. Zenica: DOM STAMPE Zenica, 2004. 5 p. ISBN: 9958-617-21-8.
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title="Solutions of Continuous-Time Systems by the Discrete Methods",
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year="2004",
pages="5",
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[nazev_en] => Solutions of Continuous-Time Systems by the Discrete Methods
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[nazev] => STABILITA NELINEÁRNÍCH SYSTÉMŮ
[nazev_orig] => STABILITA NELINEÁRNÍCH SYSTÉMŮ
[duvernost_udaju_id] => S
[popis] => Řídicí systémy v energetických zařízeních obvykle obsahují nelineární prvky. Proto není možno pro jejich vyšetřování použít lineárních metod, jmenovitě metod pro vyšetřování stability lineárních spojitých systémů. Metody pro vyšetřování nelineárních systémů patří k obtížným úkolům inženýrské praxe. Cílem tohoto příspěvku je jejich zjednodušení do té míry, aby se staly snadno dostupné a použitelné pro technickou praxi. Jsou zde uvedeny tři nejpoužívanější metody a všechny tři jsou dovedeny do přehledných tabulek, z kterých se dá zjistit, zda je či není vyšetřovaný systém stabilní a to bez speciálních znalostí ze řízení systémů.
[popis_orig] => Řídicí systémy v energetických zařízeních obvykle obsahují nelineární prvky. Proto není možno pro jejich vyšetřování použít lineárních metod, jmenovitě metod pro vyšetřování stability lineárních spojitých systémů. Metody pro vyšetřování nelineárních systémů patří k obtížným úkolům inženýrské praxe. Cílem tohoto příspěvku je jejich zjednodušení do té míry, aby se staly snadno dostupné a použitelné pro technickou praxi. Jsou zde uvedeny tři nejpoužívanější metody a všechny tři jsou dovedeny do přehledných tabulek, z kterých se dá zjistit, zda je či není vyšetřovaný systém stabilní a to bez speciálních znalostí ze řízení systémů.
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[citace_text] => ŠVARC, I. STABILITA NELINEÁRNÍCH SYSTÉMŮ. In Control of Power Systems'04. Štrbské Pleso, High Tatras: Slovak Universitz of Technologz in Bratislava, 2004. 8 s. ISBN: 80-227-2059-3.
[citace_html] => ŠVARC, I. STABILITA NELINEÁRNÍCH SYSTÉMŮ. In Control of Power Systems'04. Štrbské Pleso, High Tatras: Slovak Universitz of Technologz in Bratislava, 2004. 8 s. ISBN: 80-227-2059-3.
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author="Ivan {Švarc}",
title="STABILITA NELINEÁRNÍCH SYSTÉMŮ",
booktitle="Control of Power Systems'04",
year="2004",
pages="8",
publisher="Slovak Universitz of Technologz in Bratislava",
address="Štrbské Pleso, High Tatras",
isbn="80-227-2059-3"
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[poznamka_metriky] =>
[nazev_en] => Stability of Nonlinear Systems
[popis_en] => Three methods for stability analysis of nonlinear control systems are introduced in this contribution: method of linearization, Lyapunov direct method and Popov criterion. Since stability analysis of nonlinear control systems is difficult task in engineering practice, this methods are made easier and tabulated.
Method of linearization: The table includes the nonlinear equations and their linear approximation.
Lyapunov direct method: The table contains Lyapunov functions for usually used equations second order.
Popov criterion: The table will allow us to directly determine the stability of the nonlinear circuit with the transfer function G(s) and the nonlinearity that satisfies the slope k.
Then it is easy to find out the nonlinear system is or is not stable.
[klicova_slova_en] => Nonlinear control system, equilibrium points, phase-plane trajectory, Lyapunov method, Popov criterion; modified frequency response; linearization, global asymptotic stability (GAS).
[vysledek_datum] => 2004-01-01T00:00:00+01:00
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[nazev] => Stability Analysis of Nonlinear Control Systems
[nazev_orig] => Stability Analysis of Nonlinear Control Systems
[duvernost_udaju_id] => S
[popis] => The most powerful methods of systems analysis have been developed for linear control systems. For a linear control system, all the relationships between the variables are linear differential equations, usually with constant coefficients. But actual control systems usually contain some nonlinear elements.
Three methods for stability analysis of nonlinear control systems will be introduced in this lecture: method of linearization, Lyapunov direct method and Popov criterion. Since stability analysis of nonlinear control systems is difficult task in engineering practice, these methods are made easier and tabulated.
In the lecture we will show how the equations for nonlinear elements may be linearized. But the result is applicable only in a small enough region. When all the roots of the characteristic equation are located in the left half-plane, the system is stable.
We can construct the table includes the nonlinear equations and their the linear approximation. Then it is easy to find out if the nonlinear system is or is not stable.
Lyapunov direct method: Lyapunovs method is a very powerful tool for studying the stability of equilibrium points. However, there is drawback of the method that we should be aware of. There is no systematic method for finding a Lyapunov function for a given system. We would like to eliminate the first drawback of Lyapunovs method. This is the table of Lyapunovs functions .
Popov criterion: The Popov criterion is considered as one of the most appropriate criteria for nonlinear systems and it can be compared with the Nyquist criterion for linear systems. The sufficient condition for stability of nonlinear circuit is that the plot of G(s) should lie entirely to the right of the Popov line which crosses the real axis at -1 divided k at a slope 1 divided q (q is an arbitrary real number) . We can construct the table that will allow us to directly determine the stability of the nonlinear circuit with the transfer function G(s) and the nonlinearity that satisfies the slope k.
[popis_orig] => The most powerful methods of systems analysis have been developed for linear control systems. For a linear control system, all the relationships between the variables are linear differential equations, usually with constant coefficients. But actual control systems usually contain some nonlinear elements.
Three methods for stability analysis of nonlinear control systems will be introduced in this lecture: method of linearization, Lyapunov direct method and Popov criterion. Since stability analysis of nonlinear control systems is difficult task in engineering practice, these methods are made easier and tabulated.
In the lecture we will show how the equations for nonlinear elements may be linearized. But the result is applicable only in a small enough region. When all the roots of the characteristic equation are located in the left half-plane, the system is stable.
We can construct the table includes the nonlinear equations and their the linear approximation. Then it is easy to find out if the nonlinear system is or is not stable.
Lyapunov direct method: Lyapunovs method is a very powerful tool for studying the stability of equilibrium points. However, there is drawback of the method that we should be aware of. There is no systematic method for finding a Lyapunov function for a given system. We would like to eliminate the first drawback of Lyapunovs method. This is the table of Lyapunovs functions .
Popov criterion: The Popov criterion is considered as one of the most appropriate criteria for nonlinear systems and it can be compared with the Nyquist criterion for linear systems. The sufficient condition for stability of nonlinear circuit is that the plot of G(s) should lie entirely to the right of the Popov line which crosses the real axis at -1 divided k at a slope 1 divided q (q is an arbitrary real number) . We can construct the table that will allow us to directly determine the stability of the nonlinear circuit with the transfer function G(s) and the nonlinearity that satisfies the slope k.
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[citace_text] => ŠVARC, I. Stability Analysis of Nonlinear Control Systems. In Summer School on Control Theory and Applications. Graz: Graz University of Technology, 2004. p. 29-29.
[citace_html] => ŠVARC, I. Stability Analysis of Nonlinear Control Systems. In Summer School on Control Theory and Applications. Graz: Graz University of Technology, 2004. p. 29-29.
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[popis_en] => The most powerful methods of systems analysis have been developed for linear control systems. For a linear control system, all the relationships between the variables are linear differential equations, usually with constant coefficients. But actual control systems usually contain some nonlinear elements.
Three methods for stability analysis of nonlinear control systems will be introduced in this lecture: method of linearization, Lyapunov direct method and Popov criterion. Since stability analysis of nonlinear control systems is difficult task in engineering practice, these methods are made easier and tabulated.
In the lecture we will show how the equations for nonlinear elements may be linearized. But the result is applicable only in a small enough region. When all the roots of the characteristic equation are located in the left half-plane, the system is stable.
We can construct the table includes the nonlinear equations and their the linear approximation. Then it is easy to find out if the nonlinear system is or is not stable.
Lyapunov direct method: Lyapunovs method is a very powerful tool for studying the stability of equilibrium points. However, there is drawback of the method that we should be aware of. There is no systematic method for finding a Lyapunov function for a given system. We would like to eliminate the first drawback of Lyapunovs method. This is the table of Lyapunovs functions .
Popov criterion: The Popov criterion is considered as one of the most appropriate criteria for nonlinear systems and it can be compared with the Nyquist criterion for linear systems. The sufficient condition for stability of nonlinear circuit is that the plot of G(s) should lie entirely to the right of the Popov line which crosses the real axis at -1 divided k at a slope 1 divided q (q is an arbitrary real number) . We can construct the table that will allow us to directly determine the stability of the nonlinear circuit with the transfer function G(s) and the nonlinearity that satisfies the slope k.
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