AC induction motor sensorless control using Lyapunov function based flux and speed observer implemented on Motorola DSP. - Pavel Vaclavek; Petr Blaha (CCA, 2004)

Hybrid speed estimation scheme for AC induction machine sensorless control. - Pavel Vaclavek; Petr Blaha (CCA, 2005)

Lyapunov-function-based flux and speed observer for AC induction motor sensorless control and parameters estimation. - Pavel Vaclavek; Petr Blaha (IEEE Trans. Ind. Electron., 2006)

Synchronous Machine Drive Observability Analysis for Sensorless Control Design. - Pavel Vaclavek; Petr Blaha (CCA, 2007)

Load torque and moment of inertia observability analysis for alternating current drive sensorless control. - Ivo Herman; Pavel Vaclavek (IECON, 2012)

Enhanced discrete time model for AC induction machine model predictive control. - Pavel Vaclavek; Petr Blaha (IECON, 2012)

Rapid prototyping of robust motor control algorithms on freescale targets. - Petr Blaha; Pavel Vaclavek (SII, 2013)

PMSM model discretization for Model Predictive Control algorithms. - Pavel Vaclavek; Petr Blaha (SII, 2013)

AC Drive Observability Analysis. - Pavel Vaclavek; Petr Blaha; Ivo Herman (IEEE Trans. Ind. Electron., 2013)

Comparison of Kalman filters formulated as the statistics of the Normal-inverse-Wishart distribution. - Jakub Dokoupil; Milan Papez; Pavel Vaclavek (CDC, 2015)

Design of variable exponential forgetting for estimation of the statistics of the Normal distribution. - Jakub Dokoupil; Pavel Vaclavek (CDC, 2016)

Design of variable exponential forgetting for estimation of the statistics of the normal-wishart distribution. - Jakub Dokoupil; Pavel Vaclavek (ECC, 2016)

PMSM Model Predictive Control With Field-Weakening Implementation. - Zbynek Mynar; Libor Vesely; Pavel Vaclavek (IEEE Trans. Ind. Electron., 2016)

Efficient control of automotive R744 heat pump using Nelder-Mead simplex method. - Jan Glos; Pavel Vaclavek (ICIT, 2017)

Regularized Extended Estimation With Stabilized Exponential Forgetting. - Jakub Dokoupil; Alina Voda; Pavel Vaclavek (IEEE Trans. Autom. Control., 2017)

Adaptive Fading Kalman Filter Design Using the Geometric Mean of Normal Probability Densities. - Jakub Dokoupil; Pavel Vaclavek (ACC, 2018)

Data-Driven Stabilized Forgetting Design Using the Geometric Mean of Normal Probability Densities. - Jakub Dokoupil; Pavel Vaclavek (CDC, 2018)

Forgetting Factor Kalman Filter with Dependent Noise Processes. - Jakub Dokoupil; Pavel Václavek (CDC, 2019)

Variable Exponential Forgetting for Estimation of the Statistics of the Normal-Wishart Distribution with a Constant Precision. - Jakub Dokoupil; Pavel Václavek (CDC, 2019)

Regularized Estimation with Variable Exponential Forgetting. - Jakub Dokoupil; Pavel Václavek (CDC, 2020)

Hybrid Model Predictive Control for Fully Electric Vehicle Thermal Management System Optimal Mode Selection. - Jan Glos; Frantisek Solc; Lukás Otava; Pavel Václavek (IECON, 2020)

Model-based Electronic Expansion Valve Feed-forward Control for Electrified Automotive Vapor Compression Refrigeration System. - Jan Glos; Frantisek Solc; Pavel Václavek (IECON, 2020)

Speed Control of PMSM with Finite Control Set Model Predictive Control Using General-purpose Computing on GPU. - Michal Kozubik; Pavel Vaclavek (IECON, 2020)

Minimizing Power Consumption of Automotive AC System by Condenser Fan Speed Control. - Jan Glos; Matús Kozovský; Frantisek Solc; Pavel Václavek (ISIE, 2020)

Recursive Identification of the Hammerstein Model Based on the Variational Bayes Method. - Jakub Dokoupil; Pavel Václavek (CDC, 2021)

On Improving TLS Identification Results Using Nuisance Variables with Application on PMSM. - Dominik Friml; Michal Kozubik; Pavel Václavek (IECON, 2021)

Synchronous Reluctance Motor Parameter and State Estimation Using Extended Kalman Filter and Current Derivative Measurement. - Zbynek Mynar; Pavel Vaclavek; Petr Blaha (IEEE Trans. Ind. Electron., 2021)

Non-Linear Model Predictive Control of Cabin Temperature and Air Quality in Fully Electric Vehicles. - Jan Glos; Lukás Otava; Pavel Václavek (IEEE Trans. Veh. Technol., 2021)

Bayesian Inference of Total Least-Squares With Known Precision. - Dominik Friml; Pavel Václavek (CDC, 2022)

Adaptivity Schemes for Model Predictive Speed Control of PMSM. - Michal Kozubik; Pavel Václavek; Inigo Garcia de Madinabeitia Merino (IECON, 2022)

Recursive Identification of the ARARX Model Based on the Variational Bayes Method. - Jakub Dokoupil; Pavel Václavek (CDC, 2023)

Recursive Variational Inference for Total Least-Squares. - Dominik Friml; Pavel Václavek (IEEE Control. Syst. Lett., 2023)

Recursive Identification of Time-Varying Hammerstein Systems With Matrix Forgetting. - Jakub Dokoupil; Pavel Václavek (IEEE Trans. Autom. Control., 2023)

Total Least Squares from a Bayesian Perspective: Incorporating Data-Informed Forgetting. - Jakub Dokoupil; Pavel Václavek (CDC, 2024)

Control Set Reduction for PMSM Predictive Controller via Assisted Learning Algorithm. - Michal Kozubik; Pavel Vaclavek (ISIE, 2024)

Parallel Computing Utilization in Nonlinear Model Predictive Control of Permanent Magnet Synchronous Motor. - Michal Kozubik; Libor Vesely; Eyke Aufderheide; Pavel Vaclavek (IEEE Access, 2024)

Probability-One Optimization of Generalized Rayleigh Quotient Sum For Multi-Source Generalized Total Least-Squares. - Dominik Friml; Pavel Václavek (CoRR, 2025)