Mark Wielitzka

According to our database1, Mark Wielitzka authored at least 25 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Nonlinear Two-Track Model of a Semitrailer with Experimental Validation of Lateral and Vertical Tire Forces.
CoRR, 2024

2021
Model selection for servo control systems.
Int. J. Mechatronics Autom., 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
Distinguishability study of 3-mass models for electromechanical motion systems.
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

Adaptive model predictive traction control for electric vehicles.
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

State and maximum friction coefficient estimation in vehicle dynamics using UKF.
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
State estimation of vehicle's lateral dynamics using unscented Kalman filter.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014


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