A MATHMOD Minisymposium is devoted to a specific topic within the scope of the conference. Susequently you can find a (preliminary) list of MATHMOD Minisymposia:

Optimization and Modeling in Biomathematics and Engineering

Organizers: K. Chudej, Univ. Bayreuth and S.J. Kimmerle, Univ. der Bundeswehr München

The minisymposium is aimed at bringing together several papers addressing challenging modeling, simulation and optimization/optimal control of new mathematical models in biomathematics and life sciences, e.g. addressing dengue fever, vaccination strategies, combined cancer therapy, or optimal control techniques for electrocardiology. Further papers will be addressing modeling and optimization/optimal control in engineering and logistics. Several of the above mentioned papers will address optimal control of PDEs or even coupled ODE-PDE models, where certain modeling questions are crucial for the solution.

Model Based Design of Experiments: Where to go?

Organizers: R. Schenkendorf, TU Braunschweig and R.J. Flassig, Max Planck Inst. for Dynamics of Complex Technical Systems Magdeburg

The use of mathematical models for analysing complex processes is a powerful tool to gain a deep system understanding. However, this approach requires realistic, predictive mathematical models. During the model development phase, scientists have to cope with numerous challenges, e.g. limited knowledge about the underlying mechanisms, lack of sufficient dynamic or static experimental data, large experimental and process variability. Given a specific model class, a plethora of many different methodologies to optimally identify a specific model class structure have been developed since the mid of 20th century. This includes on the one hand methods for discrimination of competing structures but also methods for parameter estimation. We would like to discuss, whether further methodologies in the direction of model-based design are still needed, and if yes, to what extent. Further, given the trend of gathering massive data of a system of interest we dare to ask, at which point one should move from the class of first principles to data driven models or combinations thereof. What does this mean for classic experimental design principles and where are we in need for further research?

Dynamic Models in Management and Economics

Organizers: S. Leitner and F. Wall, Alpen-Adria Universität Klagenfurt

The main aim of the proposed minisymposium is to facilitate the meeting of people who work in different fields (e.g., Finance, Economics, Computer Science) and who employ quantitative approaches to systems of dynamic nature in management and economics. We also aim at providing a multidisciplinary forum for presentation and discussion of recent research findings. We are particularly interested in the application of simulation-based methodologies (e.g., agent-based models), closed-form mathematical models or a combination of these two approaches. The minisymposium is also open to contributions that
are concerned with methodological aspects of research on dynamic systems in the fields of management and economics.

Model Reduction

Organizers: B. Lohmann, TU München, B. Haasdonk, University of Stuttgart, and C. Himpe, Max Planck Institute for Dynamics of Complex Technical Systems

The modeling and discretization of complex dynamical systems leads to high-dimensional simulation models, making analysis, design, optimization and control difficult. This problem is addressed by the active and interdisciplinary field of Model Reduction, which aims at finding low-dimensional surrogate models reducing computational complexity of any subsequent use of the model. The minisymposium shall give a scientific platform for different aspects of dimensionality reduction of dynamical systems. We will consider different families of methods like State-Space Methods, Reduced Basis Methods, or POD and data driven methods. The problem classes comprise parametric, structure preserving, time-varying or time-invariant, linear or nonlinear models. We address mathematical aspects like error-control, efficiency and approximation. Various fields of application will be presented, like electrical/electronical, mechanical, biological, network and control systems.

Mathematical Modelling and Control of Bio-Chemical Processes

Organizers: J. Van Impe, Katholieke Universiteit Leuven and P. Bogaerts, Universite Libre de Bruxelles

The mini-symposium aims at stimulating contacts between specialists active in academic research and industrial development in all major areas in biotechnology, where mathematical modelling is used to aid bioprocess design, supervision, diagnosis, operation, optimization and control.

Topics: systems biology, metabolic engineering, modelling and identification, parameter and state estimation, fault diagnosis and monitoring, sensors and soft sensors, bioinformatics, dynamics and control, scheduling and optimization, life cycle analysis, etc.
Applications: microbial technology, mammalian, insect and plant cell technology, gene therapy, pharmaceutical processes, food engineering, bulk chemicals
production, environmental processes (wastewater, bioremediation, …)

Mathematical Modelling for Locomotion Mechanics and Mobile Robotics

Organizers: F.L. Chernousko and N.N. Bolotnik, Institute for Problems in Mechanics of the Russian Academy of Sciences

The aim of the minisymposium is to discuss challenging problems of locomotion mechanics and the techniques for mathematical modelling of the behaviour of natural and artificial locomotors in view of applications in mobile robotics and to exchange the recent achievements in this field obtained by scientists from different countries. Particular attention will be given to limbless locomotion and its applications in mobile robotics.
Mobile robotics is a rapidly developing science-intensive branch of modern engineering. Mobile robots have numerous applications in industries, agriculture, space exploration, for implementing various tasks in emergency situations and in the environments hazardous to humans, in medicine. Mathematical models of mobile robots of various design and purposes, techniques for the analysis and computer simulation of the behaviour of the mobile robots, as well as control and optimization problems related to mobile robotics will be discussed on the sessions of the minisymposium.
Special attention will be given to biomimetic locomotion robots that can move in various environments without special propelling devices due to the change in the configuration of their bodies, like snakes, worms, or fish, as well as to vibration-driven robots, the motion of which is excited by periodic oscillations of internal masses. Such robots are simple in design and easy to miniaturize. Vibration-driven robots can be designed as a hermetic capsule that does not have protruding parts; the source of energy and driving mechanisms are located inside the capsule. The capsule robots can be used in vulnerable environments and in tubes. They seem prospective for using in medicine for delivering a drug or a diagnostic sensor to an affected organ inside a human body.

Control-oriented Modelling, Control Design and Optimization of Dynamic Systems with Distributed Parameters

Organizers: H. Aschemann, University of Rostock, and G. Kostin, Institute for Problems in Mechanics of the Russian Academy of Sciences

The minisymposium aims at providing a meeting point for scientists to exchange their ideas and achievements in the areas of control-oriented modelling, control design and optimization of dynamic systems with distributed parameters. Topics such as early and late lumping in controlled systems described by partial differential equations, semi-discretization schemes and order-reduction techniques, optimal control in hyperbolic and parabolic problems, suppression of vibrations and disturbances in structures, system controllability and observability under uncertainties, validation and verification associated with robustness and sensitivity, online identification and adaptability are to be included. Both theoretical and experimental aspects are planned to be discussed. Applications may concern mechatronics and robotics, mechanics of structures and solids, thermo- and hydrodynamics, mechanical and electrical engineering, transportation and energy networks, process engineering as well as other related areas.

Modelling, Simulation and Control for Hydropower Systems

Organizers: B. Lie, NTH – Norges Tekniske Hogskole

Sustainable energy development implies meeting the energy needs of the future without jeopardizing the life quality of the planet. To achieve this, sustainable energy sources need to be renewable, and hydro power is one of the most important such energy sources.
A growing inclusion of renewable, but intermittent, power sources in the electric grid implies a growing imbalance between available power and power consumption. The intermittent based power has the effect of a disturbance in the system, leading to increased variation in electric frequency, etc. To counteract this, it is necessary to have access to energy sources that can be stored (high head hydropower, biomass, etc.) and which thus can be used to control the system, and more advanced control structures.
This mini-symposium will give a view into on-going research on design of turbines, generators, inclusion of surge tanks, combined turbines/pumps for pumping water up into reservoirs and the relevant models of such systems. Furthermore, the symposium aims to present studies of new ways to operate hydropower systems, both from a design point of view, and from a control point of view.

Sustainable Development and Climate Stabilization Modelling

Organizers: J.M. Puaschunder, Columbia University, Graduate School of Arts and Sciences, The New School, Department of Economics, The Schwartz Center for Economic Policy Analysis

The beginning of the 21st century imposes unknown environmental risks onto humankind. In the age of climate change and the era of the United Nations Sustainable Development Goals, the demand for harmonizing economic and ecologic goals has reached unprecedented momentum. With current political trends predicting a polarization between economic versus environmental responsibility; mathematical modelling leading the harmonious alignment of economic growth within ecological boundaries is needed.
The minisymposium targets at bringing together mathematical experts on sustainable development and climate control. The greater goal will be to find mathematically validated, economically optimal solutions how to implement sustainable development and climate control. Trenchant mathematical analyses should lead to precise policy scenarios and well-informed recommendations for the many stakeholders environmental responsibility, sustainable development and climate control embraces.
Heterodox methodological modelling and interdisciplinary approaches are welcome to set a landmark for posterity how multi-facetedly science approached the economic versus ecological conscientiousness predicament in the 21st century. All these endeavors are aimed at fostering insights for sustainable development and societal progress for an economically-interdependent, politically-tossed and environmentally-fragile world.

Energy Efficiency Improvements in Smart Cities

Organizers: E. Dahlquist, Malardalen University, Sweden

More people are living in cities than ever. It is therefore important to make the cities sustainable and energy efficient. This concerns both new buildings and renovation of existing buildings, which shall give a good climate year round with primarily renewable energy sources. The climate shell is enhanced, production of power using eg PV cells increased as well as introduction of energy storages like batteries. Use of CHP, combined heat and power, is complemented with district cooling and heat pumps with ground storage with bore holes. Renewable energy like biogas is already today used for buses in many cities and electric vehicles will probably become a commodity during next 10-20 years. This demands new infrastructures like fast charging. The electric grid is challenged with the new demands on local peak power demand and local power production. To simulate these new systems and analyze the effect they will have on society we can use modeling and simulation for scenario studies as well as for investigations of specific components in the system. This mini-symposium will cover all these mentioned aspects and papers addressing this are welcome.

Modelling and Simulation of Water Treatment

Organizers: E. Juuso, University of Oulu, Finland, and J. Zambrano, Malardalen University, Sweden

Water is becoming increasingly important in circular economy. Both water and wastewater are handled in municipal treatment plants. Industry needs on-line water quality and flow monitoring. The water circulation and wastewater treatment are closely integrated with the process operation. Environmental monitoring systems rely on fairly sparse measurements. Water balances are challenging to build. Advanced data analysis and modelling are essential in taking new measurement solutions in active use. New reliable measurement solutions are needed for contaminants with very low concentration. The early detection of changes in operating conditions requires a more efficient use of on-line measurements. Uncertainty assessment, fouling detection and calibration procedures require modelling. Mechanistic, data-driven and intelligent modelling or hybrid combinations of several kinds of models are needed for simulation, monitoring, decision making, control and diagnostics.
Simulation is used in evaluating the potential of new solutions in control and optimisation. For slow processes, the detection of operating conditions is enhanced with advanced trend analysis. Modelling and simulation provide efficient tools for integrating all these solutions in the control and optimisation of the monitoring and treatment processes.

Modelling and Simulation in Solar Thermal Power Plants

Organizers: E. Juuso, University of Oulu, Finland, and, L. J. Yebra, CIEMAT, Plataforma Solar de Almería, Spain

In recent years, an increasing quantity of solar thermal plants has been built along the whole world for the purpose of thermal or electrical energy supply from solar radiation. The plants operate in versatile temperature ranges. Concentrating solar thermal (CST) plants, which are designed for high temperatures, are complex systems formed by different components, frequently presenting important uncertainties and nonlinear dynamic behaviour. Most of the current CST plants are using Parabolic Trough Collector (PTC) and Central Receiver (CR) technology based components and aimed at electricity generation. The CST technologies gave rise to an incipient industry, mainly aimed at electricity generation that is progressively including current research results although the development of new design, operation and control techniques is a growing field of research.
Solar thermal energy solutions with flat plate collectors are focused towards large scale applications which range from district heating, mining, brewing, agricultural industry to energy renovations of large building complexes. District heating is a very suitable application for solar thermal heating, especially in networks with low temperatures. Several industries use process heat and can benefit from the use of solar thermal process heating. Among them are greenhouses, mining companies, dairies, brewing companies and other food industries to name only a few customer segments.
Due to the great complexity of such energy systems including the intermittent and uncontrollable nature of the energy source (solar radiation), intermediate storage systems, other controllable renewable generators and variable load demand; new approaches have to be done in order to optimally operate and control systems of this kind.
Besides operation and control objectives, modelling and simulation could be more deeply applied in the whole life cycle of any solar thermal energy plant, like in component development, logistics in the plant construction, dispatchability, hybrid plant configurations design, for citing just some of them.

Object-Oriented Modelling

Organizers: G. Ferretti and F. Casella, Politecnico di Milano, Italy

The field of object-oriented modelling and simulation (OOMS), based on equation-based object-oriented modeling languages and tools (EOOLT), continues its success and expanding usage all over the world primarily in engineering and natural sciences but also in some cases social science and economics.
The minisymposium on object-oriented modelling aims at collecting some new issues and results, from the classical modelling point of view, but also considering some other aspects, such as the adoption of the object-oriented approach to new problems and physical domains, to the solution of optimization problems and the design of advanced, model-based, control strategies, to the handling of very large-scale problems and to the integration of models into the Functional Mockup Interface framework.

Deployment and Load Distribution

Organizers: H. Elfahaam and U. Epple, RWTH Aachen, Germany

Overcoming unscheduled outages and the ability to react to changing production demands have been the motivation to reach a higher degree of flexibility in the automation domain. One of the main requirements to reach this flexibility is the ability to dynamically deploy functionalities to the system resources. Additionally, in the automation domain, real time requirements have to be taken into account. The deployment of new functionalities or the shifting of existing ones must be executed within runtime and with respect to the real time boundaries of the runtime system. The deployment process can be controlled by centralized or decentralized functions.
The optimization and execution strategy of the deployment process within the real time environment introduces a new field of control question with interesting theoretical aspects.
In this session modeling and/or implementation of

  • Load Distribution
  • Deployment and Redeployment
  • Resources (Re-)Allocation
  • System Adaptivity, etc.

and their theoretical impacts on the real time environment will be discussed.

Mathematical Modeling of Strongly Nonlinear Mechanical Dissipative Systems

Organizers: A.A. Kireenkov, Institute for Problems in Mechanics of the Russian Academy of Sciences, Moscow Institute of Physics and Technology, Moscow, Russia, and I.I. Kosenko, Moscow Aviation Institute, Russia

Main goal of this mini-symposium is providing a possibility for the exchange of new ideas and results between research groups in the field of mathematical models and their implementation in the investigation for strongly nonlinear dissipative mechanical systems. Special attention will be given to examples of real dynamic problems considering interaction with dry friction, fluid-structure interaction and other similar topics. In particular, models of dry friction for combined kinematics as interacting rigid bodies participate in simultaneous relative rolling, spinning and sliding motions are of interest. Fluid-structure interaction problems are also assumed to be included in this circle of problems.

Theory and Practice in Matrix Population Modelling

Organizers: D.O. Logofet, Lab of Mathematical Ecology, Institute of Atmospheric Physics, Russian Acad. Sci., Russian Federation and R. Salguero-Gomez, Dept of Zoology, University of Oxford, UK

Matrix population models are a convenient tool to model the temporal dynamics of a single species, structured population. The population structure, as per a relevant classification of stages and/or ages, and the individual life cycle are typically known from case studies, while the matrix pattern follows immediately from a given life cycle graph. When calibrated from field data, the model matrix produces a number of qualitative characteristics that allow for comparative field studies or/and theoretical research. As a function of data type, this kind of model calls for both new problems in matrix theory to be solved and new IT methods to be developed.
The mini-symposium aims at reviewing and discussing the recent achievements in the theory of Matrix Population Modelling and the practice of model applications as efficient quantitative tools of comparative demography. In particular, how to cope with various kinds of uncertainty inherent in the field data when calibrating the matrix and how the world-wide COMPADRE Plant Matrix Database & COMADRE Animal Matrix Database ( continue to develop, turning from just a compendium of pertinent publications on matrix models for the plant/animal species populations into convenient tools for comparative and synoptic studies.

Modelling in Hereditary Continuum Mechanics

Organizers: A.S. Shamaev, Institute for Problems in Mechanics RAS, Moscow State University, Russian Federation

The minisimposium is aimed to combine a number of recent studies on viscous elasticity and creep modelling. These mechanical models are described by equations and systems of equations with non-local (integral) terms, which have the form of convolution. Asymptotic methods can be used for building models of a multiphase medium, where each phase is characterized by a system of integro-differential equations. The efficient models of multiphase mediums can be constructed, accuracy and a domain of applicability for asymptotic methods can be studied. Some problems of oscillations of viscous elastic inhomogeneous systems can be examined by the means of numerical experiments.
The topic of controllability of oscillations of viscous elastic systems will also be covered. Some qualitative features, which differs the problems of controllability of integro-differential systems from similar problems of systems of differential equations, can be figured out. In particular, there is not a property of total controllability in some cases for integro-differential systems in contrast to known problems, such as vibration of a string, a membrane and so on. Parameters estimation by the means of numerical experiments in control processes in some problems of hereditary mechanics is to be discussed.

Modelling for Control and Optimization of Manufacturing Systems

Organizers: G. Music, University of Ljubljana, Slovenia

Design and operation of manufacturing systems traditionally relies on mathematical models that are used in various stages of the systems’ life cycle. Technological advancements bring new modelling concepts, use of AI techniques and data based approaches. Widespread digitalization of manufacturing systems and the move towards smart factories increases the importance of manufacturing models in manufacturing decision making. Mathematical modelling can be seen as a common paradigm of diverse manufacturing management and optimization techniques.
Papers addressing various modelling approaches applied in manufacturing domain will be presented. Proposed topics include, but are not limited to, traditional discrete-event simulation models in manufacturing design and optimization, aggregated first principle models, data-driven models, big data and AI approaches, and related applications in manufacturing control and optimization.

Modeling and Control of Smart Material Systems

Organizers: G. Rizzello, Saarland University, Germany

In recent years, many researchers have shown an increasing interest in the field of ‘smart materials’. This term refers to those materials such as dielectric elastomers, shape memory alloys, and piezoelectrics, whose mechanical properties can be controlled by means of external stimuli, e.g., electrical, magnetic, thermal, chemical. Thanks to their unique features, smart materials permit to realize novel mechatronic systems capable of performance not achievable with standard transduction technologies. However, smart materials exhibit a complex dynamic behavior, often affected by severe nonlinearities, rate-dependent phenomena, and hysteresis, which makes their modeling and control a particularly challenging task. The aim of this minisymposium is to illustrate and discuss several challenges arising from the complex behavior of smart materials. Particular emphasis is given to the effects of nonlinearities exhibited by different types of smart materials, in relation to their performance in open- and closed-loop, as well as to the development of physics-based models capable of reproducing such phenomena.