Mark Wielitzka
According to our database1,
Mark Wielitzka
authored at least 24 papers
between 2014 and 2021.
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Bibliography
2021
Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic Systems.
CoRR, 2021
Estimation of Stochastic Time Lags between Data Sources in Distributed Production Facilities Based on Cross-Correlated Signals.
Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021
Distinguishability Analysis for Multiple Mass Models of Servo Systems with Commissioning Sensors.
Proceedings of the 2021 European Control Conference, 2021
Estimation of Vehicle Side-Slip Angle at Varying Road Friction Coefficients Using a Recurrent Artificial Neural Network.
Proceedings of the IEEE Conference on Control Technology and Applications, 2021
2020
Int. J. Model. Identif. Control., 2020
Backlash Identification in Industrial Positioning Systems Aided by a Mobile Accelerometer Board with Wi-Fi.
Proceedings of the 17th International Conference on Informatics in Control, 2020
Reduced-order Modeling of Parameter Variations for Parameter Identification in Rubber Curing.
Proceedings of the 17th International Conference on Informatics in Control, 2020
2019
Structure and Parameter Identification of Process Models with Hard Non-linearities for Industrial Drive Trains by Means of Degenerate Genetic Programming.
Proceedings of the 16th International Conference on Informatics in Control, 2019
Frequency Domain Identification and Identifiability Analysis of a Nonlinear Vehicle Drivetrain Model.
Proceedings of the 17th European Control Conference, 2019
Proceedings of the 17th European Control Conference, 2019
Credibility of State and Friction Coefficient Estimation in Vehicle Dynamics using UKF.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Simultaneous Estimation of Steering and Articulation Angle in a Truck-Semitrailer Combination Solely Based on Trailer Signals.
Proceedings of the 2019 American Control Conference, 2019
2018
Computation-Efficient Simulation of Nonlinear Thermal Boundary Conditions for Large-Scale Models.
IEEE Control. Syst. Lett., 2018
Sensitivity-based Road Friction Estimation in Vehicle Dynamics using the Unscented Kalman Filter.
Proceedings of the 2018 Annual American Control Conference, 2018
Comparative Study of Data-Driven and Model-Based Real-Time Prediction during Rubber Curing Process.
Proceedings of the 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2018
Optimization of Process Parameters for Rubber Curing in Relation to Vulcanization Requirements and Energy Consumption.
Proceedings of the 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2018
2017
Sensitivity-based adaptive SRUKF for online state, parameter, and process covariance estimation.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Thermal modeling and decentralized control of mold temperature for a vulcanization test bench.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017
Proceedings of the 2017 American Control Conference, 2017
2016
Comparison of Unscented Kalman Filter in general and additive formulation for state estimation in vehicle dynamics.
Proceedings of the 2016 American Control Conference, 2016
Tire road friction estimation for improvements to traction control during drive off maneuvers in vehicles.
Proceedings of the 2016 IEEE Conference on Control Applications, 2016
2015
Joint unscented Kalman filter for state and parameter estimation in vehicle dynamics.
Proceedings of the 2015 IEEE Conference on Control Applications, 2015
2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014