- Simulation Techniques and Applications
- Business Process Modeling and Analysis
- Service-Oriented Architecture and Web Services
- Manufacturing Process and Optimization
- Model-Driven Software Engineering Techniques
- Advanced Software Engineering Methodologies
- Flexible and Reconfigurable Manufacturing Systems
- Modeling and Simulation Systems
- Distributed and Parallel Computing Systems
- Real-time simulation and control systems
- Advanced Queuing Theory Analysis
- Petri Nets in System Modeling
- Advanced Manufacturing and Logistics Optimization
- Embedded Systems Design Techniques
- Modeling, Simulation, and Optimization
- Parallel Computing and Optimization Techniques
- Scheduling and Optimization Algorithms
- Digital Transformation in Industry
- Scientific Computing and Data Management
- Aerospace and Aviation Technology
- Energy Efficiency and Management
- Product Development and Customization
- Robot Manipulation and Learning
- Systems Engineering Methodologies and Applications
- Agricultural Economics and Policy
University of Stuttgart
2023
Otto-von-Guericke University Magdeburg
2023
Wismar University of Applied Sciences
2014-2023
Private Hochschule für Wirtschaft und Technik
2023
Technical University of Applied Sciences Wildau
2023
TU Wien
2017-2023
Ansbach University of Applied Sciences
2023
Clausthal University of Technology
2017-2019
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
2017-2019
German Informatics Society
2019
The increasing complexity of systems entails an simulation models. Likewise, heterogeneity in system components corresponds to heterogeneous Cyber physical (CPS) represent emerging class technical characterized by their and heterogeneity. Developing models for CPS brings various challenges, one which is determining the fidelity. Fidelity evaluation can be introduced as degree a model matches characteristics it represents. Due growth CPS, number test cases required reach admissible coverage...
Software product-lines are designed to tackle the development of systems that characterized by a high degree variability. They define variation points where different solutions can be derived for products. Such variability mechanisms defined at levels abstraction, ranging from requirements specification source code implementation.
While any simulation study starts with a scenario, scenario development is usually conducted in an unstructured and ad hoc manner.In order to streamline development, formal approach envisioned the research flight simulator facility of German Aerospace Center (DLR), namely Air Vehicle Simulator (AVES).System Entity Structure (SES) which high level ontology that was introduced specify set system structures parameter settings proposed as foundations.The paper outlines model-based methodology...
Ontology-assisted system modeling combines classic system-theoretical with an ontological specification.Different dynamic behavior is modeled in configurable basic models defined input and output interfaces.Basic are organized a model base (MB).The ontology used to specify set of modular, hierarchical structures using references the MB.Moreover, defines possible parameter settings referenced models.Thus, describes different configurations for specific domain.A mapping such problems System...
In engineering, a broad range of environments exist for modeling and simulation with integrated parameter optimization. The established techniques only optimize model values, the structure is considered to be fixed. As system performance optimized, one may have redesign structure. done manually by an analyst. suboptimal combination automatic optimization manual structural changes leads task that prone error. This paper details approach provides through reconfiguration both parameters. An...
Currently, greater attention is paid to the nature of work and workplaces within digitized industry due increasing complexity tasks. The operators are under additional stress range high dynamic processes integration robots autonomous operating machines. There have been few studies on how Human Factors influence design for Human-Robot Collaboration (HRC). Furthermore, a comprehensive, systematic human-centered solution industrial particularly considering Factor needs HRC widely uncertain...
This article discusses prerequisites and possible methods of a Matlab/HLA (High Level Architecture) integration presents novel concept an HLA interface that is suitable for interactive usage. The result performance comparison study demonstration program on different implementations given.
A hybrid system is defined as a with mixed discrete event and continuous parts. Two ap- proaches for modeling simulation of systems in the context Discrete EVent System Specification (DEVS) formalism are compared. Since theoret- ic DEVS approach has been introduced during 1970ies, it completed by different extensions. The extensions checked against each other here, Quan- tized State Systems (QSS) method wrapper concept based on traditional ODE solvers. For comparison from engineering...
The System Entity Structure (SES) is a high level approach for variability modeling, particularly in simulation engineering, which under continuous development. In this context, an enhanced framework introduced that supports dynamic evolution using the SES approach. However, main focus to start discussion about set of design patterns, were developed analyze tree and computing aspects Structures. As development our MATLAB-based toolbox construction pruning trees proceeded, necessity have some...
This paper gives an overview about the general PDEVS specification and two established simulation approaches from Zeigler Chow. Both are analysed on basis of a simple pipe-line model with respect to real synchronous execution. Moreover, new approach for ports is introduced that extends Zeigler's algorithms goal increase their ability
A new method used for developing Flexible Task-oriented robot Controls (FTC) using the System Entity Structure (SES) is introduced.Task-oriented controls are based on composition of atomic tasks aimed at achieving a previously specified goal.Flexible taskoriented differ in that not fixedly predefined but composed during operation control actual process states and with respect to constraints sequence tasks.The an ontology, which can be hierarchically representing system compositions.For...
In modeling and simulation, Validation Verification (V&V) have always attracted significant interest. With Model Based Development (MBD) testing models became a part of product V&V. Model-Based Testing (MBT) is an advanced approach for automating the process flexibility adaptability. MBT advocates utilization specification test cases proposes workflows automatic case generation. The paper presents pragmatic MATLAB/Simulink based on concept Experimental Frame (EF) System Entity Structure...
In the design of manufacturing systems consideration resource usage, especially energy consumption, is getting more attention.However, inclusion all relevant physical processes in a unified modeling approach non-trivial task, if detailed analyses are required.The commonly used for discrete event technique.However, models often continuous nature and modeled using ordinary differential equations or algebraic equations.Indeed, investigation such demands specific process control operations,...
Simulator fidelity has been defined as the conformance of a flight simulator to characteristics real aircraft. Objective evaluation is an engineering approach that attacks problem with comparison and actual system behavior over some quantitative measures. Testing can be pronounced fundamental mean for this comparison. From utilization perspective, simulators are classified research, training simulators. Research both test beds research computational tools systems human factors research....
Industrial robots are used in various fields of application and many robot manufacturers active the market.In most cases, their software solutions proprietary and, consequently, they cannot be for third party robots.Moreover, integration external hard-or is highly restricted.Long term standardization efforts programming languages, such as Robot Language (IRL) its successor, Programming Robots (PLR), have been mostly ignored by manufacturers.This fact leads to a restriction on combined usage...
The ARGESIM benchmark C22 'Non-standard Queuing Policies' studies three non-standard queues that provide different ways to access entities inside a queue like detaching elements or reorder them: reneging queue, where leave after given waiting time, the jockeying can switch another shorter and classing at certain times with attribute ("class") are called front of queue.A special focus lies on management concurrent events.The is especially suited for beginners in field discrete event modeling.
This paper proposes a Python-based infrastructure for studying the characteristics and behavior of families systems.The allows automatic execution simulation experiments with varying system structures as well parameter sets in different simulators.Possible parameterizations are defined using System Entity Structure (SES).The SES is high level approach variability modeling, particularly engineering.An describes set configurations, i.e. settings components.In combination Model Base (MB),...
This paper deals with the extension of aPython-based infrastructure for studying characteristics and behavior families systems.The allows automatic execution simulation experiments varying system structures as well parameter sets in different simulators.Special focus is put on support environments by creating models implementing Functional Mockup Interface (FMI).Possible parameterizations are defined using a System Entity Structure (SES).The SES high level approach variability modeling,...