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National Repository of Grey Literature 4 records found  Search took 0.01 seconds. 
Design and control of laboratory double pendulum model
 Kirchner, Tomáš ; Brablc, Martin (referee) ; Bastl, Michal (advisor)
Improvement of the current double inverted pendulum model on a cart as well as a new LQG control and swing-up realization are the main goal of this thesis. Movement of the cart is driven by DC motor and gear belt mechanism. At first the control algorithms were simulated in Simulink program and then also implemented into the real system with MF624 card.
Detailed record
Methods of modelling and statistical analysis of an extremal value process
 Jelenová, Klára ; Volf, Petr (advisor) ; Branda, Martin (referee)
In the present work we deal with the problem of etremal value of time series, especially of maxima. We study times and values of maximum by an approach of point process and we model distribution of extremal values by statistical methods. We estimate parameters of distribution using different methods, namely graphical methods of data analysis and subsequently we test the estimated distribution by tests of goodness of fit. We study the stationary case and also the cases with a trend. In connection with distribution of excesess and exceedances over a threshold we deal with generalized Pareto distribution.
Detailed record
Design and control of laboratory double pendulum model
 Kirchner, Tomáš ; Brablc, Martin (referee) ; Bastl, Michal (advisor)
Improvement of the current double inverted pendulum model on a cart as well as a new LQG control and swing-up realization are the main goal of this thesis. Movement of the cart is driven by DC motor and gear belt mechanism. At first the control algorithms were simulated in Simulink program and then also implemented into the real system with MF624 card.
Detailed record
Methods of modelling and statistical analysis of an extremal value process
 Jelenová, Klára ; Volf, Petr (advisor) ; Branda, Martin (referee)
In the present work we deal with the problem of etremal value of time series, especially of maxima. We study times and values of maximum by an approach of point process and we model distribution of extremal values by statistical methods. We estimate parameters of distribution using different methods, namely graphical methods of data analysis and subsequently we test the estimated distribution by tests of goodness of fit. We study the stationary case and also the cases with a trend. In connection with distribution of excesess and exceedances over a threshold we deal with generalized Pareto distribution.
Detailed record

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