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Collection's Items (Sorted by Submit Date in Descending order): 1 to 20 of 67
Duník, Jindřich , Kost, Oliver , Straka, Ondřej , Blasch, Erik Philip
Navigation and Estimation Improvement by Environmental-Driven Noise Mode Detection

This paper deals with the state estimation of nonlinear stochastic dynamic systems, where the measurement noise is modelled by the multimodal Gaussian sum probability density function. The multimodal density is able to sufficiently capture various environmental features and phenomena affecting se...

Straka, Ondřej , Duník, Jindřich
Resampling-free Stochastic Integration Filter

The paper deals with the state estimation of nonlinear stochastic systems with additive Gaussian noises by means of the Gaussian filters leveraging numerical integration rules. The filters were derived under the assumption of the joint state and measurement predictive density being Gaussian,...

Straka, Ondřej , Punčochář, Ivo
Hierarchical Active Fault Diagnosis for Stochastic Large Scale Systems with Coupled Faults

The paper deals with the active fault diagnosis of large scale stochastic systems with faults modeled as mutually dependent Markov chains. The system is described by multiple models representing fault-free and faulty behavior of the system. The aim of the active fault detector in&#...

Ajgl, Jiří , Straka, Ondřej
Inverse Covariance Intersection Fusion of Multiple Estimates

Linear fusion of estimates is a basic tool for combining probabilistic data. If the correlation of estimation errors is unknown, the fusion performance is evaluated with respect to the worst case. Inverse Covariance Intersection fusion is a rule for combining two estimates with par...

Ajgl, Jiří , Straka, Ondřej
Design of Confidence Sets for Estimation with Approximate Piecewise Linear Constraint

Constrained state estimation has been studied in the literature usually from the point estimation perspective. That is, a random vector is designed and its covariance matrix is searched based on contextual information available in addition to the measured data. This paper deals with...

Duník, Jindřich , Straka, Ondřej , Matoušek, Jakub
Conditional Density Driven Grid Design in Point-Mass Filter

The paper is devoted to the state estimation of nonlinear stochastic dynamic systems. The stress is laid on a grid-based numerical solution to the Bayesian recursive relations using the point-mass filter (PMF). In the paper, a novel conditional density driven grid (CDDG) design is&...

Švejda, Martin , Jáger, Arnold
Engineering based robot optimization methodology

Liška, Jindřich , Jakl, Jan
On-line Monitoring of Rotor-stator Rub in Steam Turbines

Ausberger, Tomáš , Štětina, Milan
General methodology for building of OPC UA gateways

Neduchal, Petr , Bureš, Lukáš , Železný, Miloš
Environment Detection System for Localization and Mapping Purposes

Vašíček, Vojtěch , Liška, Jindřich , Strnad, Jaromír , Jakl, Jan
Experimental validation of the blade excitation in a shaft vibration signals

Liška, Jindřich , Jakl, Jan , Künkel, Sven , Vašíček, Vojtěch , Kalista, Karel , Káš, Martin
Vibration monitoring of rotating machine components

Neduchal, Petr , Železný, Miloš
Frontier Detection in Consecutive Grid Maps with Set Reduction

Jakl, Jan , Liška, Jindřich , Vašíček, Vojtěch
Usage of shaft vibration signals for turbine blades monitoring

Kalista, Karel , Liška, Jindřich , Jakl, Jan , Vašíček, Vojtěch
Identification of seal dynamic force coefficients for turbine rotor monitoring purposes

Liška, Jindřich , Jakl, Jan , Künkel, Sven
Torsional vibration encoder-based monitoring methods and their experimental validation

Vašíček, Vojtěch , Liška, Jindřich , Jakl, Jan
Monitoring and experimental validation of blade vibration forces acting on rotor

Picek, Lukáš , Šulc, Milan , Matas, Jiří
Recognition of the Amazonian flora by Inception Networks with Test-time Class Prior Estimation

Sobota, Jaroslav , Goubej, Martin , Königsmarková, Jana , Čech, Martin
Raspberry Pi-based HIL simulators for control education

Čech, Martin , Königsmarková, Jana , Goubej, Martin , Oomen, Tom , Visioli, Antonio
Essential challenges in motion control education

Collection's Items (Sorted by Submit Date in Descending order): 1 to 20 of 67