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The Institute of Theoretical and Applied Mechanics
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1.
(75)
Original version of the author's contribution as presented on CD, , page 1169. :
PDF
Facilitating sustainability in heritage buildings in Australia: learning from the design profession
Wilson, K.
;
Desha, C.
The retrofitting of heritage buildings represents a significant opportunity to reduce the carbon footprint of our built environment. Within the retrofit process, the desi [...]
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2.
(75)
Original version of the author's contribution as presented on CD, . :
PDF
PARALLEL SOLUTION IN OPTIMIZATION OF REINFORCED CONCRETE BEAM DESIGN
Lepš, Matěj
;
Bittnar, Zdenek
Abstrakt: One of the main requests in engineering practice is to have an effective design procedure of a reinforced concrete continuous beam. This task is a multidimensio [...]
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3.
(75)
Original version of the author's contribution as presented on book, page 111. :
PDF
FEM NONLINEAR CONTACT VIBRATION ANALYSIS OF A DISC ADAPTER
Dániel, V.
;
Had, J.
In order to simulate a launch, all space instruments undergo a vibration tests. Due to the fixing points in vibrating machines being different, adapters are used for each [...]
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4.
(75)
Original version of the author's contribution as presented on CD, paper. :
PDF
Modal and spectral properties of the rotor on permanent magnet bearings
Kozánek, J.
;
Šafr, M.
Abstrakt:
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5.
(76)
Original version of the author's contribution as presented on CD, . :
PDF
Multi-objective optimization approach to design of RC frames
Lepš, M.
This paper presents a discrete optimization of reinforced concrete structures based on an efficient combination of deterministic and stochastic optimization strategies. T [...]
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6.
(76)
Original version of the author's contribution as presented on CD, . :
PDF
The effect of selected variables on Q-learning during the control of asynchronous electric motor
Marada, T.
;
Březina, T.
Asynchronous electric motor control task can be successfully solved using reinforcement learning based method called Q-learning. The main problem to solve is the converge [...]
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-
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7.
(76)
Original version of the author's contribution as presented on CD, SOL. :
PDF
Automated design of reinforced concrete frames
Lepš, M.
;
Bittnar, Z.
This paper presents discrete optimization of reinforced concrete structures based on an efficient combination of deterministic and stochastic optimization strategies. The [...]
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8.
(76)
Original version of the author's contribution as presented on CD, DYN. :
PDF
Rotor supported on magnetic bearings --- numerical and experimental analysis
Půst, L.
;
Veselý, J.
The dynamic properties of rotor supported on passive magnetic bearings is investigated by means of numerical solution and by measurement on the prototype of experimental [...]
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9.
(76)
Original version of the author's contribution as presented on CD, . :
PDF
LIMITATION OF THERMAL INVERSE ALGORITHM AND BOUNDARY CONDITIONS RECONSTRUCTION FOR VERY FAST CHANGES ON BOUNDARY
Pohanka, M.
Direct measurements of boundary conditions in application such as descaling or hot rolling in steel industry or in experiments that simulates these processes are impossib [...]
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10.
(77)
Original version of the author's contribution as presented on CD, paper. :
PDF
Dynamics of permanent magnetic bearing
Půst, L.
Abstrakt:
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11.
(77)
Original version of the author's contribution as presented on CD, . :
PDF
Some notes on control of asynchronous electromotor by improved Carla method
Turek, M.
;
Pulchart, J.
Modifications of reinforcement learning algorithm, so called continuous action reinforcement learning automaton (CARLA), are presented in this contribution. Automaton lea [...]
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12.
(77)
Original version of the author's contribution as presented on CD, . :
PDF
Nonstationary system control using Q-learning
Věchet, S.
;
Krejsa, J.
Q-learning is the most popular and effective version of Reinforcement Learning algorithms. In this paper we discuss the possibility of control of a nonstationary system b [...]
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13.
(77)
Original version of the author's contribution as presented on CD, . :
PDF
IDENTIFICATION OF DAMAGE MODEL WITH CRACKS FROM RESULTS OF THREE-POINT BENDING TEST
Kučerová, A.
;
Ibrahimbegović, A.
Presented paper is concerned with the numerical modeling of quasibrittle materials such as concrete. Brancherie and Ibrahimbegovic are authors of a simple model capable o [...]
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14.
(78)
Original version of the author's contribution as presented on CD, MCT. :
PDF
Using modified Q-learning with LWR for inverted pendulum control
Věchet, S.
;
Březina, T.
Locally Weighted Learning (LWR) is a class of approximations, based on a local model. In this paper we demonstrate using LWR together with Q-learning for control tasks. Q [...]
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15.
(79)
Original version of the author's contribution as presented on CD, . :
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LEARNING BASED CONTROL SYSTEM OF FOUR-LEGGED ROBOT
Březina, Tomáš
;
Singule, Vladislav
Abstrakt: Possible discretization technique oj the continuous state space oj Jour-Iegged robot using simultaneous compositions oj behaviors is described in this contribut [...]
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16.
(82)
Original version of the author's contribution as presented on CD, . :
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Nonlinear controller with local approximator for active magneti bearing
Březina, T.
;
Turek, M.
Algorithm of locally weighted regression is presented in this contribution. Local approximator repeatedly uses the locally linear model based on least square method. Simu [...]
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17.
(82)
Original version of the author's contribution as presented on CD, . :
PDF
CONTROL DESIGN OF ACTIVE MAGNETIC BEARING BY GENETIC ALGORITHMS
Turek, M.
;
Březina, T.
Control design of rotating shaft levitated by active magnetic bearing is described in this contribution. Genetic algorithm is used to design controller parameters. Depend [...]
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18.
(91)
Original version of the author's contribution as presented on CD, MCT. :
PDF
The control of active magnetic bearing using two-phase Q-learning
Březina, T.
;
Krejsa, J.
Q-learning method proved to be usable in active magnetic bearing (AMB) control task, however the learning speed remains the main problem. Two-phase variant of the Q-learn [...]
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19.
(100)
Original version of the author's contribution as presented on CD, . :
PDF
STOCHASTlC POLlCY IN Q-LEARNING USED FOR CONTROL OF AMB
Březina, Tomáš
;
Věchet, Stanislav
Abstrakt: A great intention is lately focused on Reinforcement Learning (RL) methods. The article is focused on improving model free RL method known as Q-Iearning algorit [...]
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