Mathematics of Control, Signals, and Systems - Recent Advances on Dissipativity in Systems and Control
Guest Editors:
Timm Faulwasser, Dortmund, Germany
Benjamin Unger, Stuttgart, Germany
Matthias Voigt, Brig, Switzerland
Closure date: August 1, 2023
Description:
When modeling real-world phenomena by differential(-algebraic) equations, the physics of the underlying process is often encoded in the model via specific structures and symmetries that result, e. g., from the consideration of energy balances. Also, dissipativity, e. g., heat radiation or damping, is often present in the system and plays a critical role when assessing or controlling its performance. Modern energy-based modeling paradigms that lead, e. g., to so-called port-Hamiltonian systems encode the dissipation in the system structure by considering the internal energy storage and the inflow and outflow of energy via input and output ports. This framework considers energy flow between subsystems or the system and its environment. Such systems also enable coupling dynamical systems of very different scales and physical areas with physically interpretable results. This also has important implications for simulation, optimization, and control tasks since the structure of dissipative systems can be exploited in these domains.
When dealing with dissipative systems, it is often desired or even necessary to exploit and preserve these structures by numerical simulation schemes as well as methods for optimization, control, and model order reduction. Hence, Mathematics of Control, Signals and Systems invites original research or survey papers containing mathematically rigorous results for the topical collection "Recent Advances on Dissipativity in Systems and Control", which address these challenges.
We are particularly interested in submissions that discuss
* modeling paradigms that result in dissipative systems (such as port-Hamiltonian systems),
* structure-preserving or -exploiting discretization, simulation, and integration methods,
* optimization and control techniques that make use of dissipativity,
* structure-preserving techniques for model order reduction,
* data-driven techniques for the aforementioned tasks.
How to submit your article:
All submissions must be original and may not be under review by another publication. Interested authors should consult the journal’s “Submission Guidelines” at https://www.springer.com/journal/498/submission-guidelines
Articles can be submitted through SNAPP:
The special issue is created as submission questionnaire in the system. When you submit your paper you will be asked if your paper belongs to a special issue. Please answer yes, and then select “S.I. Recent Advances on Dissipativity in Systems and Control” from the pull-down menu.
All submitted papers will be reviewed on a peer review basis as soon as they are received. Accepted papers will become immediately available Online First until the complete Special Issue appears.
Guest Editor Biographies:
Timm Faulwasser has studied Engineering Cybernetics at the University of Stuttgart, with majors in systems and control and philosophy. From 2008 until 2012 he was a member of the International Max Planck Research School for Analysis, Design and Optimization in Chemical and Biochemical Process Engineering Magdeburg. In 2012 he obtained his PhD from the Department of Electrical Engineering and Information Engineering, Otto-von-Guericke-University Magdeburg, Germany. From 2013 to 2016 he was with the Laboratoire d’Automatique, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, while 2015-2019 he was leading the Optimization and Control Group at the Institute for Automation and Applied Informatics at Karlsruhe Institute of Technology (KIT), where he successfully completed his habilitation in the Department of Informatics in 2020. In November 2019 he joined the Department of Electrical Engineering and Information Technology at TU Dortmund University, Germany. Currently, he serves as associate editor for the IEEE Transactions on Automatic Control, the IEEE Control System Letters, as well as Mathematics of Control Systems and Signals. His main research interests are optimization-based and predictive control of nonlinear systems and networks with applications in energy, process systems engineering, mechatronics, and beyond.
Benjamin Unger is an independent junior research group leader at the University of Stuttgart, Germany, within the cluster of excellence ‘‘Data-integrated simulation science (SimTech)’’ and faculty member of the International Max Planck Research School for Intelligent Systems. He received his Ph.D. from the Technische Universität Berlin, Germany, in 2020. His research interests include surrogate modeling, port-Hamiltonian systems, and delay differential–algebraic equations.
Matthias Voigt received the Diplom degree in mathematics from TU Chemnitz in 2010 and the doctoral degree in mathematics from OvGU Magdeburg in 2015 in cooperation with the Max Planck Institute of Complex Technical Systems. Thereafter, he joined TU Berlin as a research associate from 2014-2021 and Universität Hamburg as a W3 substitute professor from 2019-2021. Since 2021 he is Assistant Professor with Tenure Track in Mathematics at UniDistance Suisse in Brig, Switzerland. His research interests include differential-algebraic equations, systems and control theory, numerical linear algebra, and model reduction.