Abstrakt:

Abstrakt: Long-term observation of bridges supported by bearings made of synthetic materials reveals a steady horizontal deformation increase of these elements. This proc [...]

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 [...]

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 [...]

Our recent experiments on filament-wound composite tube showed that unidirectional and cross filament-wound composite tubes had non-linear behaviour even under axial load [...]

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 [...]

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 [...]

The tilting pad bearings are very often applied in high speed rotating machines. The exact solution of bearing characteristics, including the motion of tilting pads, is v [...]

Abstrakt:

This contribution deals with computation of stiffness and damping coefficients of aerostatic bearings. Model of bearings is based on Reynolds equation for compressible m [...]

This article introduces results of Genetic Programming used for creation of experimental data approximations together with the search for significant parameters of an af [...]

Modifications of reinforcement learning algorithm, so called continuous action reinforcement learning automaton (CARLA), are presented in this contribution. Automaton lea [...]

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 [...]

Control design of rotating shaft levitated by active magnetic bearing is described in this contribution. Genetic algorithm is used to design controller parameters. Depend [...]

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 [...]

Algorithm of locally weighted regression is presented in this contribution. Local approximator repeatedly uses the locally linear model based on least square method. Simu [...]