1.
|
With the gradual implementation of Eurocodes came the necessity of training courses for practising engineers. Research for the steel construction sector has highlighted t [...]
|
2.
|
Marada, Tomáš
Abstrakt: Tento článek obsahuje numerické experimenty, popisujicí nastaveni parametrů Q-učeni pro řízeni asynchronniho elektromotoru. Citem je stanovit velikost a [...]
|
3.
|
The paper deals with the engineer design of the levitation magnet for transport systems and magnetic bearings. The optimal solution for the minimum whole volume of the ir [...]
|
4.
|
The degree of weathering of rocks, quantitative evaluation and non-destructive detection, is the premise and the requirements of governance stone relics weathering diseas [...]
|
5.
|
Experts have been gathering for long to discuss their ideals and experiences on heritage management. One of their aims is meeting in search for common ground and drawing [...]
|
6.
|
Our paper reviews available evidence on the latest trends concerning the use of mobile ICTs in Heritage Education in Spain and moreover provides a theoretical model for t [...]
|
7.
|
The possible method of walking policy obtaining of four-legged robot through Q-learning is discussed in the contribution. Q-learning is implemented using architecture rep [...]
|
8.
|
During the past decade, there has been a tremendous interest in the use of piezoelectric sensors and actuators for structural control applications. Some of the attributes [...]
|
9.
|
Flexural vibrations of rotating disk contain forward and backward traveling waves can be excited at certain speed of rotating disk also by a standing constant single poin [...]
|
10.
| |
11.
|
Abstrakt: Possible discretization technique oj the continuous state space oj Jour-Iegged robot using simultaneous compositions oj behaviors is described in this contribut [...]
|
12.
|
Modifications of reinforcement learning algorithm, so called continuous action reinforcement learning automaton (CARLA), are presented in this contribution. Automaton lea [...]
|
13.
|
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 [...]
|
14.
|
A database of carbon dioxide emissions intensity was compiled for environmental life-cycle assessment of construction activities. The database consists of three smaller d [...]
|
15.
|
Abstrakt: The impact motion of rigid rotor supported on passive magnetic bearings is studied. Impacts on passive magnetic bearings are investigated. Impacts occur in reta [...]
|
16.
| |
17.
|
Concrete is represented as a two-phase material in this paper. Behaviour of a crack with its tip on the interface between two different materials - hardened cement paste [...]
|
18.
| |
19.
|
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 [...]
|
20.
|
Ferfecki, P.
For the purpose of efficient diagnostics of fault conditions the influence of transverse fatigue crack on dynamical behaviour of a rotor system supported by active magnet [...]
|
21.
| |
22.
|
Algorithm of locally weighted regression is presented in this contribution. Local approximator repeatedly uses the locally linear model based on least square method. Simu [...]
|
23.
|
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 [...]
|
24.
|
Control design of rotating shaft levitated by active magnetic bearing is described in this contribution. Genetic algorithm is used to design controller parameters. Depend [...]
|
25.
|
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 [...]
|
26.
|
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 [...]
|
guest ::