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International Symposium on Computational Intelligence and Informatics

作者： M. Furkan Dodurka Engin Yesil Leon Urbas Getron Corporation New Jersey NJ USA Chair for Process Control Systems Engineering Technische Universität Dresden Germany

ISBN: (纸本)9781509039104

In this study, Fuzzy Cognitive Maps (FCMs), which are powerful tools for graphical representation of knowledge, are analyzed from an ambiguity and fuzziness perspective. In conventional FCMs the causal strengths are represented with singleton (crisp) fuzzy numbers, but recently, other researchers proposed different FCM structures where uniform (interval) or triangular fuzzy numbers are used in causal strength representation. Here, FCMs are analyzed by means of fuzziness and ambiguity measures that are proposed in literature to investigate the capability of models to represent uncertainties. In addition, two new measures, called the average ambiguity measure (AAM) and the average fuzziness measure (AFM), are proposed to indicate uncertainty representation of an FCM. A well-known FCM model of a public health system is used as a case study to show how the fuzzy weights determine the uncertainty representation of FCMs, and then the outcomes are discussed.

关键词： Uncertainty Measurement uncertainty Fuzzy cognitive maps Fuzzy sets Fuzzy systems Inference mechanisms

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RFID as Universal Entry Point to Linked Data Clouds

RFID as Universal Entry Point to Linked Data Clouds

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IEEE International Conference on RFID-Technology and Applications

作者： Jens Ziegler Markus Graube Leon Urbas Dresden University of Technology Dresden Germany Head of the Chair for Process Control Systems Engineering Dresden University of Technology Dresden Germany

ISBN: (纸本)9781467346566

Semantic web technologies are a key enabler for future information systems. The concept of Linked Data allows flexible inter-organizational collaboration and dynamic data integration. It surpasses the limitations of prevalent relational databases and proprietary access technologies. RFID, on the other hand, has been successfully applied to integrate physical artifacts into complex information systems. It allows the identification of artifacts by a unique identifier leveraging concepts such as the Internet of Things. Using the existing RFID ecosystem as universal entry point to Linked Data clouds makes it possible to connect the semantic description of the real world with the physical artifacts within this world. This provides new ways of merging and exploring real and virtual content. This paper presents an approach for using RFID as universal entry point to Linked Data clouds for task-driven and context-aware mobile support systems.

关键词： RFID Entry Point

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process control Principles for Scalable Electrolysis systems

Process Control Principles for Scalable Electrolysis Systems

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Julius Lorenz Anselm Klose Hannes Lange Tobias Kock Leon Urbas Chair of Process Control Systems TUD Dresden University of Technology Dresden Germany Process to Order Lab TUD Dresden University of Technology Dresden Germany Process Systems Engineering Group TUD Dresden University of Technology Dresden Germany

The scale up of hydrogen production to large scale production systems demands a structured approach to control these systems. With suitable control principles, optimization for operation can be achieved whilst maintaining flexibility. In this paper, existing control strategies are analyzed and compared for large scale electrolysis systems. It is argued, how modularization can enable the optimal distribution of set-points and enables the systems for capacity extension. An initial implementation in MATLAB is presented, showing the feasibility of the proposed power distribution concept.

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Understanding and controlling filamentous growth of fungal cell factories: novel tools and opportunities for targeted morphology engineering

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Fungal Biology and Biotechnology 2021年第1期8卷 8页

作者： Meyer, Vera Cairns, Timothy Barthel, Lars King, Rudibert Kunz, Philipp Schmideder, Stefan Müller, Henri Briesen, Heiko Dinius, Anna Krull, Rainer Chair of Applied and Molecular Microbiology Institute of Biotechnology Technische Universität Berlin Straße des 17. Juni 135 Berlin 10623 Germany Chair of Measurement and Control Institute of Chemical and Process Engineering Technische Universität Berlin Straße des 17. Juni 135 Berlin 10623 Germany Chair of Process Systems Engineering School of Life Sciences Technical University of Munich Gregor- Mendel-Str. 4 Freising 85354 Germany Institute of Biochemical Engineering Technische Universität Braunschweig Rebenring 56 Brunswick 38106 Germany Center of Pharmaceutical Engineering Technische Universität Braunschweig Franz-Liszt-Str. 35a Brunswick 38106 Germany

Filamentous fungal cell factories are efficient producers of platform chemicals, proteins, enzymes and natural products. Stirred-tank bioreactors up to a scale of several hundred m³ are commonly used for their cultivation. Fungal hyphae self-assemble into various cellular macromorphologies ranging from dispersed mycelia, loose clumps, to compact pellets. Development of these macromorphologies is so far unpredictable but strongly impacts productivities of fungal bioprocesses. Depending on the strain and the desired product, the morphological forms vary, but no strain- or product-related correlations currently exist to improve process understanding of fungal production systems. However, novel genomic, genetic, metabolic, imaging and modelling tools have recently been established that will provide fundamental new insights into filamentous fungal growth and how it is balanced with product formation. In this primer, these tools will be highlighted and their revolutionary impact on rational morphology engineering and bioprocess control will be discussed. © 2021, The Author(s).

关键词： Aspergillus niger Co-expression network Filamentous fungi Hypothetical proteins Macromorphology Micromorphology Modelling Pellet Polar growth Rheology X-ray micro-computed tomography

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Flexible process control for Scalable Electrolysis systems

Flexible Process Control for Scalable Electrolysis Systems

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Electrical, Computer and Energy Technologies (ICECET), International Conference on

Large-scale water electrolysis systems are built from a multitude of stack units. These stack units have to be controlled during operation. The question arises how process control of the system can be designed in that way, that scalable, extendable but also optimal operation of the stack units becomes possible. To achieve this goal, existing process control strategies from literature are analyzed. The requirements resulting from the inherent numbering up of stack units are described and an approach for an adaptable optimized process control strategy considering the system properties is proposed. The proposed process control strategy is implemented in a modeled electrolysis system and evaluated regarding the stated criteria. The results could show, that the inherent modularization of electrolysis systems can be used in advantage for a scalable operation.

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Service-orientation on behalf of self-configuration for the automation environment

Service-orientation on behalf of self-configuration for the ...

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Annual Conference of Industrial Electronics Society

作者： Henning Mersch Ulrich Epple Christian Kleegrewe Chair for Process Control Engineering RWTH Aachen University Aachen Germany Corporate Technology Intelligent Autonomous Systems Siemens AG Munich Germany

On current automation systems a device failure might lead to significant down times of a plant as well as man power to replace and - more important - to setup the replacement device. Since the physical replacement can't be circumvented, the setup procedure could be automatized as much as possible. This paper shows an approach based on a new automation system designed as a service-oriented architecture (SOA). Advantages of this service-orientation for the automation environment are described in detail. The presented choreography of services yields to a flexible, dynamic and scalable system like it is well known for today's distributed, information technology systems - e.g. grid computing. This approach is applied to the self-configuration scenario as a demonstration of the benefits and chances, which could be achieved by modeling automation systems based on the SOA principle. A prototype realizes the presented service-choreography using real-world's automation components.

关键词： Automation Service oriented architecture Prototypes Sensors Valves Memory

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Indistinguishability analysis and observer design for size-structured cell populations

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IFAC-PapersOnLine 2023年第2期56卷 581-586页

作者： P. Jerono J.J. Winkin A. Vande Wouwer A. Schaum Digital Process Engineering Group (DPE) Karlsruhe Institute of Technology Germany Department of Mathematics and Institute for Complex Systems (naXys) University of Namur Belgium Systems Estimation Control and Optimization (SECO) University of Mons Belgium Chair of Automation and Control (ACON) Kiel University Germany

The observability property of population balance equations with biomass measurements is addressed within the framework of indistinguishable trajectories. The population balance equation is described by a partial integro-differential equation which is coupled with an ordinary differential equation for the nutrient dynamics. For the semi-discretized model equations, the dynamics of indistinguishable trajectories are derived and evaluated for the special case of equal partitioning at cell division revealing that the observability property is guaranteed as long as the nutrient concentration is not depleted. Based on these results, an observer is designed and tested in simulation to estimate the cell population distribution using biomass measurements in a batch bioreactor for the case of a bi-structured population.

关键词： Observability indistinguishable trajectories cell population dynamics

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Integrating industrial middleware in Linked Data collaboration networks

Integrating industrial middleware in Linked Data collaborati...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Markus Graube Leon Urbas Jan Hladik Chair for Process Control Systems Engineering Technische Universität Dresden Dresden Germany Faculty of Engineering Baden-WürttembergCooperative State University (DHBW) Stuttgart Germany

ISBN: (纸本)9781509013159

Within the Semantic Web field, Linked Data is an emerging technology offering advantages in terms of flexibility and openness also for industrial environments. It provides a powerful information model with simple extension mechanisms and a cross-domain character, which makes it possible to span flexible information spaces across enterprise boundaries. Thus, it is able to represent all facets of a digital plant, like devices and processes. Although developed with the focus on static data, it is also capable of handling dynamic data if the latter is adapted appropriately. This article describes these requirements and presents a concept for integrating process data into the Linked Data information space. A separation between a semantic description of the access to process data and the service providing exactly this information allows efficient and integration-ready access to data. The necessary vocabulary is described as well as the information model. A prototypical implementation of OPC UA integration into Linked Data is presented. The article further discusses the current status of the approach and provides future research challenges.

关键词： Resource description framework Semantics Data models Transient analysis Ontologies Aging

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The need for neuromorphic computing in industrial robotics

The need for neuromorphic computing in industrial robotics

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Artificial Intelligence and Power engineering (AIPE), International Conference on

作者： Tapanta Bhanja Jonathan Nußbaum Khalil Abuibaid Tatjana Legler Achim Wagner Martin Ruskowski Department of Mechanical and Process Engineering Chair for Machine Tools and Control Systems University of Kaiserslautern-Landau Kaiserslautern Germany Innovative Factory Systems German Research Centre for Artificial Intelligence Kaiserslautern Germany

With Moore’s law coming to its limits, the rate of increase in compute power available for processing applications is similarly coming to a halt. This implies that the compute intensive tasks, such as robotics, artificial intelligence, and high-performance space computing need innovative ways to cater their ever-increasing compute needs. One innovative way to solve computational bottlenecks is to bring compute and memory together, as opposed to the Von Neumann computational model, with greater degree of parallelism in an event-based, asynchronous computation paradigm. Neuromorphic computing is one such paradigm that draws its inspiration from the brain. Energy and computational efficiency, asynchronous and event-based processing being its salient features, neuromorphic computing is an area worth exploring for compute intensive tasks. In this paper, the authors explore the possibilities and benefits of neuromorphic computing in robotics, and establish possible research directions that could benefit the robotics domain.

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A Numerical Study on the Parallelization of Dual Decomposition-based Distributed Mixed-Integer Programming

A Numerical Study on the Parallelization of Dual Decompositi...

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European control Conference (ECC)

作者： Mario Klostermeier Vassilios Yfantis Achim Wagner Martin Ruskowski Department of Mechanical and Process Engineering Chair of Machine Tools and Control Systems University of Kaiserslautern-Landau Kaiserslautern Germany German Research Center for Artificial Intelligence (DFKI) Kaiserslautern Germany

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

The shift from centralized to decentralized systems is increasing the complexity of many problems in control and optimization. However, it also presents the opportunity to exploit parallelized computational schemes. This paper shows how the solution process of mixed-integer problems, which often arise in areas like production scheduling or logistics, can be supported by employing parallel computations. To this end, dual variables are introduced that enable the decomposition of these complex problems into subproblems that can then be solved in parallel. The presented dual decomposition-based approach provides a lower bound for the optimal solution of the original problem, which can support the overall solution process. The focus of this paper is on the parallelizability of the computation of this lower bound. The bounds from three different dual decomposition- based distributed optimization algorithms are compared to the lower bounds provided by several commercial solvers within their branch-&-cut framework.

关键词： processor scheduling Europe Production Programming Complexity theory Optimization Logistics

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