MATHMOD 2009 Special Sessions
SP 01: Modelling the Swarm
Thomas Schmickl (Karl-Franzens-University Graz, thomas.schmickl@uni-graz.at),
Heiko Hamann (Uni Karlsruhe, hamann@ira.uka.de)
SP 02: Numerical Methods in Quantum Simulations
Othmar Koch (TU Wien, othmar@othmar-koch.org)
SP 03: Modeling and Simulation in Systems Biology
Wolfgang Wiechert (Univ. Siegen, Wolfgang.Wiechert@uni-siegen.de)
Aljoscha Wahl (Delft University of Technology, s.a.wahl@tudelft.nl)
SP 04: Advances in Model Order Reduction
Boris Lohmann (TU München, Lohmann@tum.de), gemeinsam mit P.C.Müller, T. Strykel
SP 05: Tools for Modelling of Reaction Systems
Rudibert King (TU Berlin, rudibert.king@tu-berlin.de)
SP 09: Modelling of Fuel Cells and Chemical Engineering Applications -
From balance equations to reduced models for optimization and process control
Kurt Chudej (Univ. Bayreuth, Kurt Chudej, kurt.chudej@uni-bayreuth.de),
Michael Mangold (Max-Planck-Institut für Dynamik komplexer technischer Systeme, Magdeburg, mangold@mpi-magdeburg.mpg.de)
SP 10: Mathematical Modelling and Control of Chemical and Bio-chemical Processes
Philippe Bogaerts (Université Libre de Bruxelles, Philippe.Bogaerts@ulb.ac.be),
Jan Van Impe (Katholieke Universiteit Leuven, Jan.VanImpe@agr.kuleuven.ac.be)
SP 11: Numerics of Ordinary Differential Equations with Uncertainties
M. Günther (Universität Wuppertal, guenther@math.uni-wuppertal.de),
U. Wever (Siemens AG, Corporate Technology, utz.wever@siemens.com),
P. Rentrop (Technische Universität München, toth-pinter@mathematik.tu-muenchen.de).
SP 13: Mathematical Models and their Correspondence to the Physical Reality
P. Dabnichki (School of Engineering and Materials Science, Queen Mary, University of London, p.dabnichki@qmul.ac.uk)
SP 14: Computational Micromagnetics
Markus Melenk (TU Vienna, melenk@tuwien.ac.at),
Dirk Praetorius (TU Vienna, dirk.praetorius@tuwien.ac.at),
Dieter Suess (TU Vienna)
SP 15: Nonlinear Oscillations
Alois Steindl (TU Vienna, Alois.Steindl@tuwien.ac.at),
Horst Ecker (horst.ecker@tuwien.ac.at)
SP 16: Selected Examples in Biomechanical Modelling and Simulation
Arnold Baca (Univ.Vienna, arnold.baca@univie.ac.at)
SP 17: Modeling of Decentralized Service Systems in Automation Technologies
Ulrich Epple (epple@plt.rwth-aachen.de),
Henning Mersch (Lehrstuhl für Prozessleittechnik, RWTH Aachen, mersch@plt.rwth-aachen.de)
SP 18: Object-oriented Modelling and Simulation
Gianni Ferretti (Politecnico di Milano, ferretti@elet.polimi.it)
Francesco Casella (Politecnico di Milano, casella@elet.polimi.it)
SP 19: Control of Dynamical Systems
F.L. Chernousko (chern@ipmnet.ru)
Georgii Kostin (kostin@ipmnet.ru)
SP 22: Discrete and Hybrid Simulation: Methodologies, Techniques and Applications
Gasper Music (Univ. Ljubljana, gasper.music@fe.uni-lj.si)
SP 23: Modelling, Simulation and System Dynamics through E-Learning
Maja Atanasijević-Kunc (Univ. Ljubljana, maja.atanasijevic@fe.uni-lj.si)
SP 24: Computational Modeling and Simulation in Multi-Modal Transportation
Dietmar P. F. Moeller (Universität Hamburg, dietmar.moeller@informatik.uni-hamburg.de)
SP 25: Carbon Capture and Storage
Bernt Lie (Norway, Bernt.Lie@hit.no)
SP 26: Meeting With IT Advances in Modeling and Simulation Tool Developments
Kaj Juslin (Finnland, Kaj.Juslin@vtt.fi)
SP 28: Modelling and Simulation of Biological Water Treatment
Esko Juuso (University Oulu, Finland, esko.juuso@oulu.fi)
SP 30: Modelling, Analysis and Control of Distributed Parameter Systems
Markus Schöberl, Kurt Schlacher (University Linz, Austria, kurt.schlacher@jku.at)
SP 31: Circulating Fluidized Beds
Erik Dahlquist (erik.dahlquist@mdh.se)
For date and time, see MATHMOD 2009 Schedule
SP 01: Modelling the Swarm
Thomas Schmickl (Karl-Franzens-University Graz, thomas.schmickl@uni-graz.at),
Heiko Hamann (Uni Karlsruhe, hamann@ira.uka.de)
This symposium is focused on mathematical models as well as on agent-based simulations of self-organizing swarm systems (large groups of interacting/interfering agents). The scope of the symposium is distinctively interdisciplinary, as our intention is to bring together scientists researching swarm issues in the fields of biology, sociology, physics, and engineering (especially robotics). The symposium should provide a good overview about modelling and simulation techniques that are used to tackle the swarm problems, reaching from macroscopic models (e.g., based on rates and densities), over individual-based multi-agent models and simulations, to physically embodied agents such as swarm robots.
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SP 02: Numerical Methods in Quantum Simulations
Othmar Koch (TU Wien, othmar@othmar-koch.org)
In the understanding of phenomena of quantum dynamics and quantum structure, numerical simulation has been taking a prominent role in recent years, as the exact solution of the underlying Schroedinger equation is only possible in trivial cases. The curse of dimensionality makes the computations of even moderate sized quantum systems intractable unless the interplay of suitable model reductions and numerical approximation methods enables successful computations of high accuracy. The special session 'Numerical Methods in Quantum Simulations' at the MATHMOD 2009 conference aims at highlighting both novel numerical techniques which enable practically relevant simulations and applications where these are fruitfully used.
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SP 03: Modeling and Simulation in Systems Biology
Wolfgang Wiechert (Univ. Siegen, Wolfgang.Wiechert@uni-siegen.de)
Aljoscha Wahl (Delft University of Technology, s.a.wahl@tudelft.nl)
Systems biology is concerned with the reconstruction and understanding of complex biological networks on the intracellular and intercellular level. In order to reach this ambitious goal large amounts of experimental ‘omics’-data are produced that must be evaluated and interpreted. In turn new experiments must be designed to obtain relevant information. As a consequence of these requirements systems thinking, mathematical modelling and simulation have become a central methodology in systems biology.
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SP 04: Advances in Model Order Reduction
Boris Lohmann (TU München), P.C.Müller, T. Strykel
Recent developments in modeling of complex physical and technical processes such as electronic circuit design and simulation of micro-electro mechanical systems lead to a growing interest in model order reduction of large-scale dynamical systems. Numerical simulation, optimization and active control of such complex systems is often impossible in a reasonable time due to the large number of state space variables.
Model order reduction (known also as dimension reduction or reduced-order modeling) consists in approximation of a large-scale system of differential equations by a model of lower complexity that preserves the important characteristics and properties of the problem.
A goal of the Special Session is to bring together researchers from mathematics and engineering in order to discuss the current state-of-the-art in model reduction and to establish new directions and partnerships for research. Contributions from theory as well as from the different areas of application are welcome.
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SP 05: Tools for modelling of reaction systems
Rudibert King (TU Berlin, rudibert.king@tu-berlin.de)
Modeling of chemical and biochemical reaction systems suffers from a couple of inherent problems. Whereas the basic structure of the dynamical system is given from general balance equations, it is often unknown 1) how the structure of individual reaction rates looks like, 2) how many species have to be considered and 3) which species interact with each other. Moreover, as highly nonlinear systems are considered many identification approaches are limited due to the local nature of optimization routines used. The papers of this session address these problems with combinations of qualitative and quantitative approaches to propose appropriate model structures and with global approaches to find best solutions.
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SP 09: Modelling of Fuel Cells and Chemical Engineering Applications - From balance equations to reduced models for optimization and process control
Kurt Chudej (Univ. Bayreuth, Kurt Chudej, kurt.chudej@uni-bayreuth.de),
Michael Mangold (Max-Planck-Institut für Dynamik komplexer technischer Systeme, Magdeburg, mangold@mpi-magdeburg.mpg.de)
Mathematical modelling, numerical simulation, optimization and control play a very important role for the improvement of fuel cells and other applications from chemical engineering.
Application in process control and optimization require models of comparatively low system order. The development and validation of such models is discussed here for two examples from the area of population balance systems. The first example is an industrial reactor for polyethylene production. A detailed reference model and possible physically motivated model simplifications are discussed. The second example is the production of urea in an industrial crystallizer. Here, the modelling challenge lies in the interaction between crystal formation and fluid dynamics. Proper orthogonal decomposition methods are applied to obtain a low order process model.
The third contribution discusses the design of optimal experiments for parameter identification. Most studies use objective functions based on the Fisher information matrix. However, this traditional approach suffers from serious shortcomings especially for nonlinear models. In this presentation, another approach based on sigma points is discussed for the example of a bio-reactor. The following three talks are concerned with the mathematical modelling and efficient numerical simulation of some fuel cell types. Special care has to be applied in order to get a suitable model which can be solved efficiently; this is especially important for the computation of optimal controls s.t. to pde models.
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SP 11: Numerics of Ordinary Differential Equations with Uncertainties
M. Günther (Universität Wuppertal, guenther@math.uni-wuppertal.de),
U. Wever (Siemens AG, Corporate Technology, utz.wever@siemens.com),
P. Rentrop (Technische Universität München, toth-pinter@mathematik.tu-muenchen.de).
In the last years the demand of realistic mathematical models of physical problems has emerged in the community of scientific computing. The development of fast computers made complex models feasible for computation in relative short time. In this context models involving uncertainty became an interesting field of research. For treating stochasticity in mathematical models Monte Carlo Simulation (MCS) is still standard. Although more sophisticated methods than brute force MCS, like Latin Hypercube Monte Carlo and Markov Chain Monte Carlo exist, a large number of samples is needed to obtain sufficient accuracy of the stochastic behavior of the model.
The special session deals with Polynomial Chaos (PC), a method to handle models with uncertain parameters. PC, which is a spectral expansion of random variables with finite variance into a series of orthogonal Hermite polynomials, has drawn extensive attention in recent years. It is based on the pioneering work of N. Wiener in 1938.
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SP 14: Computational Micromagnetics
Markus Melenk (TU Vienna, melenk@tuwien.ac.at),
Dirk Praetorius (TU Vienna, dirk.praetorius@tuwien.ac.at),
Dieter Suess (TU Vienna)
Micromagnetic phenomena play a key role in technical applications such as storage devices and magnetic sensors. Therefore, an effective and reliable simulation of these phenomena is of utmost importance for the design of such devices. Our minisymposium aims to bring together researchers from numerical analysis and computational physics to discuss recent simulation results and numerical methods together with state of the art applications.
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SP 15: Nonlinear Oscillations
Alois Steindl (TU Vienna, Alois.Steindl@tuwien.ac.at),
Horst Ecker (horst.ecker@tuwien.ac.at)
The scope of the session encompasses all nonlinear vibration phenomena associated with mechanical, structural and control systems, dealing with such topics as perturbation and computational methods, dynamic stability, local and global methods, bifurcations, chaos, multibody dynamics, robotics, system modelling and identification, friction and damping models.
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SP 16: Selected Examples in Biomechanical Modelling and Simulation
Arnold Baca (Univ.Vienna, arnold.baca@univie.ac.at)
Due to advancements in computer technology over the last decades biomechanical modelling and simulation have become very popular in a wide range of application areas like human (or animal) movement, sports, rehabilitation, occupational health and tissue engineering. Diverse approaches are applied to solve different problems. Multi-body systems are often used as forward or inverse models to get insights into the kinematics and kinetics of the motion itself. Finite element models are employed to approximate complex geometry of anatomical structures and to analyze and improve sports equipment design. Computational fluid dynamics is used to model hydrodynamic problems, such as in water sports investigations. Unconventional as well as conventional paradigms have shown to be helpful in analyzing manifold aspects of human motion, such as movement coordination or movement classification. The session shall give an overview on different modelling approaches in selected examples.
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SP 17: Modeling of Decentralized Service Systems in Automation Technologies
Ulrich Epple (epple@plt.rwth-aachen.de),
Henning Mersch (Lehrstuhl für Prozessleittechnik, RWTH Aachen, mersch@plt.rwth-aachen.de)
Within the area of automation technology, field and automation devices have more and more free computational and memory resources available. This opens the possibility to implement integrated decentralized service models even at the level of field and automation. To provide requirements like stability, performance and reliability of such strong decentralized reactive systems, new modeling-approaches and mathematical methods are needed. This session gives a survey of current modeling-approaches and discusses future developments.
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SP 18: Object-oriented Modelling and Simulation
Gianni Ferretti (Politecnico di Milano, ferretti@elet.polimi.it)
Francesco Casella (Politecnico di Milano, casella@elet.polimi.it)
Object-oriented concepts and tools are becoming more and more popular as a universal approach to high level computational modeling and simulation of complex systems, providing a general notation to modelling as well as powerful abstractions and efficient implementations. Moreover, one main advantage offered by the object-oriented approach is the re-usability of models, speeding up to a great extent the generation of complex models from collected know-how and expertise.
The object-oriented approach is currently used in a broad range of application areas: from thermodynamic systems to electric drives, from power systems to multibody dynamics. This variety of applications is also witnessed in this special session, with contributions in the fields of object oriented methodology, logic control design and control theory, vehicle modelling and control design, nuclear and biomass power generation, thermodynamic systems, electric drives.
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SP 19: Control of Dynamical Systems
F.L. Chernousko (chern@ipmnet.ru)
Georgii Kostin (kostin@ipmnet.ru)
Special Session “Control of Dynamical Systems” organized in the framework of the Conference MATHMOD 2009 will provide a meeting point for scientists to exchange ideas and achievements in the area of modeling, control, and optimization of complex dynamical systems and processes. Topics such as optimal control, adaptive and robust control, control of vibrations, control and estimating of systems with uncertainties will be included. Both theoretical and experimental aspects will be discussed. Applications may concern mechanical and electrical engineering, transportation systems, robotics and mechatronics, and other areas.
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SP 22: Discrete and Hybrid Simulation: Methodologies, Techniques and Applications
Gasper Music (Univ. Ljubljana, gasper.music@fe.uni-lj.si)
Simulation of discrete-event dynamics is a meaningful aid in understanding the behaviour of complex man-made systems. On the other hand, many engineering systems exhibit a hybrid discrete/continuous nature and a combination of the discrete and continuous approaches is required to properly simulate their dynamic behaviour. The behaviour of many natural systems can also be well approximated by hybrid dynamics and suitable modelling and simulation techniques are required to support the related research. The session is focused on recent development in discrete and hybrid simulation methodologies and techniques. In particular, reports on application of discrete-event and hybrid simulation to solving various practical problems will be presented.
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SP 23: Modelling, Simulation and System Dynamics through E-Learning
Maja Atanasijević-Kunc (Univ. Ljubljana, maja.atanasijevic@fe.uni-lj.si)
Due to the fast technological development, where practically all students have now the access to the internet, e-learning has become an important education stream, which enables additional possibilities in comparison with classical teaching approaches. Introducing such an idea to every – day practice is usually conneted with the efforts which result in interesting technical solutions, experiments and lecture organization. The scope of the session is to share and discusse the experiences from the field.
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SP 24: Computational Modeling and Simulation in Multi-Modal Transportation
Dietmar P. F. Moeller (Universität Hamburg, dietmar.moeller@informatik.uni-hamburg.de)
The cargo industry and the airline business is an expanding market with a need for comprehensive logistic systems in transportation. Hence transportation has to deal with the object to provide most economical, smooth, reliable and speedy carriage of incoming and outgoing transportation, which can be cargo and/or passengers, to various destinations on selected mode of transport. This is essential in order to ascertain reliable and timely transportation scheduling and delivery/arrival throughout the logistic-chain, from the shipper to the consignee as well as from departure to arrival. Therefore, the cargo and airline market demands a global solution and network linking the respective modes of transportation. The combination of these modes is defined as multi-modal transport system. Hence, multi-modal transportation has to deal with a network linking airlines, roadways, railways and shipping
lines in one chain in order to achieve a better quality of service to customers with the most economical costing and dependable schedule. But the complexity of the multi-modal traffic process necessitate a traffic model approach to estimate which may include a port with inter-modal traffic between container vessels, trucks, and trains for traffic events within an Metropolitan, e.g. traffic jams influencing trucks’ time tables, in order to determine quality of service and/or economical costing, in case of multi-modal cargo transportation embedding container ships. This is while computational modeling and simulation in multi-modal transportation offers a powerful methodological toolkit to analyze the multi-modal transportation chain due to different constraints as well as searching for answers for implication of planning in metropolitan/urban regions.
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SP 25: Carbon Capture and Storage
Bernt Lie (Norway, Bernt.Lie@hit.no)
The increasing concentration of carbon dioxide (CO2) in the atmosphere is a topic of current interest: CO2 is a greenhouse gas, and IPCC predicts a resulting increase in the global temperature. But an increasing concentration of CO2 will also have a negative effect on the air quality. The increase in CO2 content is partially due to the use of fossile fuels (coal, oil, natural gas, etc.). There are many possible ways of producing energy without using fossile fuel; these alternatives are currently explored. However, it is also of interest to consider the capturing of CO2 emitted from processes, with a subsequent storing. A potential storage of CO2 is in subterranean caverns; it is also of interest to pump back CO2 into oil/gas fields in order to enhance the production of fossile fuels. Critical questions in such carbon capture and storage (CCS) are (i) can the methods for capturing CO2 be improved to make them economically realistic, and (ii) will there be a leakage of CO2 from caverns?
This session deals with principles and quantitative models of CO2 (carbon) capture and storage, both models for design and models for prediction and control.
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SP 26: Meeting With IT Advances in Modeling and Simulation Tool Developments
Kaj Juslin (Finnland, Kaj.Juslin@vtt.fi)
Handheld thin graphics client devices with ubiquitous access to safe data repositories and highly parallel computing services over Internet form one possible platform for implementation of future modeling and simulation software. Digital catalogs are already available for various kinds of construction materials and production plant components. Semantic databases are developed for detailed specification of process and automation integration data as well as for collection of operational and maintenance information. Data standardization efforts are proceeding for information related to various devices, plant processes as well as complete buildings. Interoperability standards provide for unified access to such formally specified modeling data. Real time communication standards provide for connecting digital control systems to real as well as to simulated processes. Simulators support control system testing. The session addresses closer integration of modeling and simulation to engineering as well as operational work processes. Intelligent modeling support tools and robust solution algorithms are prerequisites, especially considering the emerging highly parallel computing on ordinary PCs. The session approaches presentations related to research challenges identified, novel developments made, and experiences gained.
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SP 30: Modelling, Analysis and Control of Distributed Parameter Systems
Markus Schöberl, Kurt Schlacher (University Linz, Austria, kurt.schlacher@jku.at)
Distributed parameter systems are described by sets of equations, which contain partial differential equations. Latter are often approximated by sets of ordinary equations to simplify the system analysis or the controller design seemingly. But it also well known that one looses certain phenomenons like finite propagation time, irreversibility, etc. by this procedure. It is a matter of fact that the analysis and the controller design methods for systems described by sets of ordinary differential equations are more advanced and easier to apply than methods for systems described by partial differential equations. Nevertheless, there has been a lot of progress in both fields, analysis and control such that these new design methods, which do not rely on the finite dimensional approximation, are also of interest for the application. In this mini-symposium selected applications, which deal with physical structures including beams, plates, etc., will be presented to demonstrate some parts of the available methods and theories.
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SP 31: Circulating Fluidized Beds
Erik Dahlquist (erik.dahlquist@mdh.se)
This session will cover the advancement of fluid bed technology in a broad perspective. We deal with combustion, gasification as well as use for production of chemicals in fluidized beds. Both circulating and bubbling fluidized beds will be covered. Both design and use of models for on-line applications for process optimization and control will be addressed. The common subject is how to model fluidized beds, and we hope to give new perspectives when we gather with different experiences. The five papers will be combined with a final discussion where the advancement of fluidized bed modeling will be addressed. Here also the audience will be invited to participate.
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