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2020 – today
- 2024
[j9]Michal Kozubik
, Libor Vesely, Eyke Aufderheide, Pavel Vaclavek:
Parallel Computing Utilization in Nonlinear Model Predictive Control of Permanent Magnet Synchronous Motor. IEEE Access 12: 128187-128200 (2024)- [c24]Michal Kozubik, Pavel Vaclavek:
Control Set Reduction for PMSM Predictive Controller via Assisted Learning Algorithm. ISIE 2024: 1-6 - 2023
- [j8]Dominik Friml, Pavel Václavek:
Recursive Variational Inference for Total Least-Squares. IEEE Control. Syst. Lett. 7: 2839-2844 (2023) - [j7]Jakub Dokoupil, Pavel Václavek:
Recursive Identification of Time-Varying Hammerstein Systems With Matrix Forgetting. IEEE Trans. Autom. Control. 68(5): 3078-3085 (2023) - [c23]Jakub Dokoupil, Pavel Václavek:
Recursive Identification of the ARARX Model Based on the Variational Bayes Method. CDC 2023: 4215-4222 - 2022
- [c22]Dominik Friml, Pavel Václavek:
Bayesian Inference of Total Least-Squares With Known Precision. CDC 2022: 203-208 - [c21]Michal Kozubik, Pavel Václavek, Inigo Garcia de Madinabeitia Merino:
Adaptivity Schemes for Model Predictive Speed Control of PMSM. IECON 2022: 1-6 - 2021
- [j6]Zbynek Mynar, Pavel Vaclavek, Petr Blaha:
Synchronous Reluctance Motor Parameter and State Estimation Using Extended Kalman Filter and Current Derivative Measurement. IEEE Trans. Ind. Electron. 68(3): 1972-1981 (2021) - [j5]Jan Glos, Lukás Otava, Pavel Václavek:
Non-Linear Model Predictive Control of Cabin Temperature and Air Quality in Fully Electric Vehicles. IEEE Trans. Veh. Technol. 70(2): 1216-1229 (2021) - [c20]Jakub Dokoupil, Pavel Václavek:
Recursive Identification of the Hammerstein Model Based on the Variational Bayes Method. CDC 2021: 1586-1591 - [c19]Dominik Friml, Michal Kozubik, Pavel Václavek:
On Improving TLS Identification Results Using Nuisance Variables with Application on PMSM. IECON 2021: 1-6 - 2020
- [c18]Jakub Dokoupil, Pavel Václavek:
Regularized Estimation with Variable Exponential Forgetting. CDC 2020: 312-318 - [c17]Michal Kozubik, Pavel Vaclavek:
Speed Control of PMSM with Finite Control Set Model Predictive Control Using General-purpose Computing on GPU. IECON 2020: 379-383 - [c16]Jan Glos, Frantisek Solc, Lukás Otava, Pavel Václavek:
Hybrid Model Predictive Control for Fully Electric Vehicle Thermal Management System Optimal Mode Selection. IECON 2020: 2036-2043 - [c15]Jan Glos, Frantisek Solc, Pavel Václavek:
Model-based Electronic Expansion Valve Feed-forward Control for Electrified Automotive Vapor Compression Refrigeration System. IECON 2020: 2050-2056 - [c14]Jan Glos, Matús Kozovský, Frantisek Solc, Pavel Václavek:
Minimizing Power Consumption of Automotive AC System by Condenser Fan Speed Control. ISIE 2020: 148-153
2010 – 2019
- 2019
- [c13]Jakub Dokoupil, Pavel Václavek:
Forgetting Factor Kalman Filter with Dependent Noise Processes. CDC 2019: 1809-1815 - [c12]Jakub Dokoupil, Pavel Václavek:
Variable Exponential Forgetting for Estimation of the Statistics of the Normal-Wishart Distribution with a Constant Precision. CDC 2019: 5094-5100 - 2018
- [c11]Jakub Dokoupil, Pavel Vaclavek:
Adaptive Fading Kalman Filter Design Using the Geometric Mean of Normal Probability Densities. ACC 2018: 5037-5042 - [c10]Jakub Dokoupil, Pavel Vaclavek:
Data-Driven Stabilized Forgetting Design Using the Geometric Mean of Normal Probability Densities. CDC 2018: 1403-1408 - 2017
- [j4]Jakub Dokoupil, Alina Voda, Pavel Vaclavek:
Regularized Extended Estimation With Stabilized Exponential Forgetting. IEEE Trans. Autom. Control. 62(12): 6513-6520 (2017) - [c9]Jan Glos, Pavel Vaclavek:
Efficient control of automotive R744 heat pump using Nelder-Mead simplex method. ICIT 2017: 785-790 - 2016
- [j3]Zbynek Mynar, Libor Vesely, Pavel Vaclavek:
PMSM Model Predictive Control With Field-Weakening Implementation. IEEE Trans. Ind. Electron. 63(8): 5156-5166 (2016) - [c8]Jakub Dokoupil, Pavel Vaclavek:
Design of variable exponential forgetting for estimation of the statistics of the Normal distribution. CDC 2016: 1179-1184 - [c7]Jakub Dokoupil, Pavel Vaclavek:
Design of variable exponential forgetting for estimation of the statistics of the normal-wishart distribution. ECC 2016: 2565-2570 - 2015
- [c6]Jakub Dokoupil, Milan Papez, Pavel Vaclavek:
Comparison of Kalman filters formulated as the statistics of the Normal-inverse-Wishart distribution. CDC 2015: 5008-5013 - 2013
- [j2]Pavel Vaclavek, Petr Blaha, Ivo Herman:
AC Drive Observability Analysis. IEEE Trans. Ind. Electron. 60(8): 3047-3059 (2013) - [c5]Pavel Vaclavek, Petr Blaha:
PMSM model discretization for Model Predictive Control algorithms. SII 2013: 13-18 - [c4]Petr Blaha, Pavel Vaclavek:
Rapid prototyping of robust motor control algorithms on freescale targets. SII 2013: 629-634 - 2012
- [c3]Ivo Herman, Pavel Vaclavek:
Load torque and moment of inertia observability analysis for alternating current drive sensorless control. IECON 2012: 1864-1869 - [c2]Pavel Vaclavek, Petr Blaha:
Enhanced discrete time model for AC induction machine model predictive control. IECON 2012: 5043-5048
2000 – 2009
- 2007
- [c1]Pavel Vaclavek, Petr Blaha:
Synchronous Machine Drive Observability Analysis for Sensorless Control Design. CCA 2007: 1113-1117 - 2006
- [j1]Pavel Vaclavek, Petr Blaha:
Lyapunov-function-based flux and speed observer for AC induction motor sensorless control and parameters estimation. IEEE Trans. Ind. Electron. 53(1): 138-145 (2006)
Coauthor Index
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