Mark Wielitzka
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View article: Nonlinear Two-Track Model of a Semitrailer with Experimental Validation of Lateral and Vertical Tire Forces
Nonlinear Two-Track Model of a Semitrailer with Experimental Validation of Lateral and Vertical Tire Forces Open
As part of the automation of commercial vehicles, the number of assistance systems in this field is continuously increasing. The semitrailer plays an important role for the vehicles driving dynamics due to its highly varying loads and the …
View article: LiDAR-Based Localization for Formation Control of Multi-Robot Systems
LiDAR-Based Localization for Formation Control of Multi-Robot Systems Open
View article: Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic Systems
Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic Systems Open
Sensor and control data of modern mechatronic systems are often available as heterogeneous time series with different sampling rates and value ranges. Suitable classification and regression methods from the field of supervised machine lear…
View article: Autoencoder-based Representation Learning from Heterogeneous\n Multivariate Time Series Data of Mechatronic Systems
Autoencoder-based Representation Learning from Heterogeneous\n Multivariate Time Series Data of Mechatronic Systems Open
Sensor and control data of modern mechatronic systems are often available as\nheterogeneous time series with different sampling rates and value ranges.\nSuitable classification and regression methods from the field of supervised\nmachine l…
View article: Nutzen von Zusatzsensorik für die Unterscheidbarkeit von Modellen für elektrische Antriebsstränge bei der Struktur- und Parameteridentifikation
Nutzen von Zusatzsensorik für die Unterscheidbarkeit von Modellen für elektrische Antriebsstränge bei der Struktur- und Parameteridentifikation Open
Für viele Fragestellungen aus Reglerauslegung, Vorsteuerung und Zustandsüberwachung werden Prozessmodelle mit korrekter und physikalisch interpretierbarer innerer Struktur benötigt (phenomenologische Modelle). Die modellbasierten Ansätze w…
View article: Model selection for servo control systems
Model selection for servo control systems Open
Physically motivated models of electromechanical motion systems are required in several applications related to control design. However, the effort of modelling is high and automatic modelling would be appealing. The intuitive approach to …
View article: Distinguishability Analysis for Multiple Mass Models of Servo Systems with Commissioning Sensors
Distinguishability Analysis for Multiple Mass Models of Servo Systems with Commissioning Sensors Open
Physically motivated models of electromechanical motion systems enable model-based control theory and facilitate system interpretation. Unfortunately, the effort of modelling restricts the usage of model-based methods in many applications.…
View article: Model selection for servo control systems
Model selection for servo control systems Open
Physically motivated models of electromechanical motion systems are required in several applications related to control design, model-based fault detection and simply interpretation.Often, however, the high effort of modelling prohibits th…
View article: Performance Optimal and Robust Design of an Idle-Speed Controller Considering Physical Uncertainties
Performance Optimal and Robust Design of an Idle-Speed Controller Considering Physical Uncertainties Open
Modern passenger vehicles are equipped with a great number of control functions targeting versatile performance aspects like safe drive-ability, comfortable or sporty ride concerning assistance systems or a proper adjustment of engine cont…
View article: Multisensor-Configuration for Improved Identifiability and Observability of Electromechanical Motion Systems
Multisensor-Configuration for Improved Identifiability and Observability of Electromechanical Motion Systems Open
For many problems in the field of control design phenomenological models are required so that the need for parameter identification of given model structures arises. These models can be combined with observers to derive the system states i…
View article: Frequency Domain Model Selection for Servo Systems ensuring Practical Identifiability
Frequency Domain Model Selection for Servo Systems ensuring Practical Identifiability Open
Physically motivated models of servo control systems with coupled mechanics are required for control design, simulation etc. Often, however, the effort of modelling prohibits, these model-based methods in industrial applications. Therefore…
View article: Bayesian Fill Volume Estimation Based on Point Level Sensor Signals
Bayesian Fill Volume Estimation Based on Point Level Sensor Signals Open
In dry bulk and fluid processing, the composites are usually stored in hoppers, tanks, or other containers. Due to the economic advantages, binary point level sensors, which detect fill level exceeding, are widely used for process monitori…
View article: Temporal Object Tracking in Large-Scale Production Facilities using Bayesian Estimation
Temporal Object Tracking in Large-Scale Production Facilities using Bayesian Estimation Open
Moving towards comprehensive digitalization of production facilities, it is critical to know the location of work pieces, charges, or other objects of interest that change location over time during production. For the case of a limited tra…
View article: Constrained Design of Multisine Signals for Frequency-domain Identification of Electric Drive Trains
Constrained Design of Multisine Signals for Frequency-domain Identification of Electric Drive Trains Open
View article: Reduced-order Modeling of Parameter Variations for Parameter Identification in Rubber Curing
Reduced-order Modeling of Parameter Variations for Parameter Identification in Rubber Curing Open
View article: Model Selection ensuring Practical Identifiability for Models of Electric Drives with Coupled Mechanics
Model Selection ensuring Practical Identifiability for Models of Electric Drives with Coupled Mechanics Open
View article: Design of a PI-Controller Based on Time-Domain Specification Utilizing the Parameter Space Approach
Design of a PI-Controller Based on Time-Domain Specification Utilizing the Parameter Space Approach Open
View article: Resource Efficient Classification of Road Conditions through CNN Pruning
Resource Efficient Classification of Road Conditions through CNN Pruning Open
Towards autonomous driving, advanced driver assistance systems increasingly undertake basic driving tasks by replacing human assessment and interactions, when controlling the vehicle. The performance of these systems is directly related to…
View article: Tension Monitoring of Toothed Belt Drives Using Interval-Based Spectral Features
Tension Monitoring of Toothed Belt Drives Using Interval-Based Spectral Features Open
Toothed belt drives are used in manifold automation applications. But only if the belt tension is properly adjusted, optimal working conditions are ensured. A loss of efficiency or even breakdowns might be the consequences otherwise. For t…
View article: Distinguishability study of 3-Mass Models for Electromechanical Motion Systems
Distinguishability study of 3-Mass Models for Electromechanical Motion Systems Open
Physically motivated models of electromechanical motion systems are required in several applications related to control design and auto-tracking, model-based fault detection, feed-forward, and simply interpretation. However, attempts to cr…
View article: Real-Time Classification of Road Type and Condition in Passenger Vehicles
Real-Time Classification of Road Type and Condition in Passenger Vehicles Open
Modern vehicles are equipped with numerous sensors and hence offer an increasing degree of environmental perception. In this work, a method is presented that is able to classify different road types and their conditions based on standard v…
View article: Neural Observer for Nonlinear State and Input Estimation in a Truck-Semitrailer Combination
Neural Observer for Nonlinear State and Input Estimation in a Truck-Semitrailer Combination Open
Driver assistance systems have become an indispensable part of today's vehicles technology. Especially in the commercial vehicle sector, the challenges in obtaining information increase with rising system complexity. Compared to trucks, tr…
View article: Real-Time Prediction of Curing Processes using Model Order Reduction
Real-Time Prediction of Curing Processes using Model Order Reduction Open
Manifold engineering applications are directly affected by temperature. For rubber or composite curing processes, temperature distributions over time inside the compounds are crucial for chemical cross-linking reactions. Most of these reac…
View article: Backlash Identification in Industrial Positioning Systems Aided by a Mobile Accelerometer Board with Wi-Fi
Backlash Identification in Industrial Positioning Systems Aided by a Mobile Accelerometer Board with Wi-Fi Open
In electromechanical motion systems performance measures such as positioning accuracy, dynamic stiffness and control bandwidth are severely limited by backlash. Several control schemes based on backlash compensation or switching control of…
View article: Frequency Domain Identification and Identifiability Analysis of a Nonlinear Vehicle Drivetrain Model
Frequency Domain Identification and Identifiability Analysis of a Nonlinear Vehicle Drivetrain Model Open
Physical parameters of a vehicle drivetrain are required in many applications. In the context of fault diagnosis, for example, knowledge about the installed components or parts can provide insights in order to verify if they behave in acco…
View article: Structure and Parameter Identification of Process Models with Hard Non-linearities for Industrial Drive Trains by Means of Degenerate Genetic Programming
Structure and Parameter Identification of Process Models with Hard Non-linearities for Industrial Drive Trains by Means of Degenerate Genetic Programming Open
The derivation of bright-grey box models for electric drives with coupled mechanics, such as stacker cranes, robots and linear gantries is an important step in control design but often too time-consuming for the ordinary commissioning proc…
View article: Unscented Kalman Filter for State and Parameter Estimation in Vehicle Dynamics
Unscented Kalman Filter for State and Parameter Estimation in Vehicle Dynamics Open
Advanced driver assistance systems in modern vehicles have gained interest in the past decades. For most of these systems accurate knowledge about the current driving state, describing the vehicle's stability, and certain parameters is ben…
View article: Sensitivity-Based Adaptive SRUKF for State, Parameter, and Covariance Estimation on Mechatronic Systems
Sensitivity-Based Adaptive SRUKF for State, Parameter, and Covariance Estimation on Mechatronic Systems Open
Since the initial developments in the state-space theory in the 1950s and 1960s, the state estimation has become an extensively researched and applied discipline. All systems that can be modelled mathematically are candidates for state est…