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Lars Gruene5/26/26, 9:00 AMInvited talk
In this talk I will explain how the recently developed dissipativity-based qualitative analysis of stochastic optimal control problems helps in analysing stochastic model predictive control (MPC) schemes. I will on the one hand present stability and near-optimal performance results for problems with suitable stage costs. On the other hand, I will explain why the stochastic MPC closed loop may...
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Sophie Hall (ETH Zürich)5/26/26, 10:30 AMContributed talk
Generalized Nash equilibria are used in multi-agent control applications to model strategic interactions between agents that are coupled in the cost, dynamics, and constraints, and provide the foundations for game-theoretic MPC (Receding Horizon Games). We study properties of finite-horizon dynamic GNE trajectories from a system-theoretic perspective. We show how strict dissipativity generates...
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Dr Guanru Pan (Hamburg University of Technology)5/26/26, 11:05 AMContributed talk
This talk investigates the asymptotic energy conversion efficiency of two-port port-Hamiltonian systems operating under supplied power limits and storage constraints. The extracted energy at the output port is defined as $ E(T) \doteq -\int_0^T y_2^\top(t)u_2(t)\,dt, $ and the corresponding normalized efficiency is $\eta_E(T) \doteq \frac{E(T)}{T\bar p}.$ Lower and upper bounds are derived for...
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Michał Wojtylak (Faculty of Mathematics and Computer Science, Jagiellonian Univesity, Kraków, Poland)5/26/26, 2:00 PMInvited talk
A classical result due to Arov [1] states that a rational matrix function $F(z)$ (of size $k\times l$) that takes contractive values for $z\in {\mathbb D}={ z \in{\mathbb C} : |z|<1}$ admits a contractive finite-dimensional realization; i.e., there exists a contractive matrix $ \left[ \begin{array}{cc} A & B \cr C & D \end{array} \right]\in \mathbb C^{d+k,d+l} $ such that $F(z) = D + zC...
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Maria Dronka (Jagiellonian University)5/26/26, 3:30 PMContributed talk
The dissipative Hamiltonian (dH) matrix pencils are pencils of the form $L(\lambda) = \lambda E - (J-R)Q,$ where $J^* = -J$, $E^*Q = Q^*E \geq 0$, $R^* = R \geq 0$, and $\lambda E - Q$ is regular. Matrix pencils strictly equivalent to dH pencils were characterised in [2].
In this talk, we investigate the orbit structure of dH matrix pencils, in the setting proposed by Pokrzywa [3]. In...
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Raffaele D'AMBROSIO (University of L'Aquila)5/26/26, 4:05 PMContributed talk
This talk addresses recent developments in the design and analysis of structure-preserving numerical methods for selected classes of stochastic differential equations and stochastic partial differential equations, endowed with intrinsic invariance properties. Particular attention is devoted to the numerical preservation mean-square dissipativity, by means of stochastic $\theta$-methods. We...
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Henk van Waarde (University of Groningen)5/27/26, 9:00 AMInvited talk
Energy-based learning is a biologically plausible alternative to the widely used backpropagation method for training artificial neural networks. It considers models governed by an energy function and learns by shaping this function such that its minima coincide with observed data. This paradigm is particularly promising for training analog circuits in an energy-efficient manner, since learning...
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Karim Cherifi (FEMTO-ST, Supmicrotech, Besancon, France)5/27/26, 10:30 AMContributed talk
Physics-informed learning has emerged as a powerful paradigm for system identification, enabling data-driven models to capture complex nonlinear dynamics while respecting underlying physical structure. Building on our recent work on learning nonlinear port-Hamiltonian (pH) systems from input–state–output data, we investigate how model performance scales with available learning resources.
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Victoria Rayskin (MNSU)5/27/26, 11:05 AMContributed talk
In this talk we discuss a machine learning method (Method of Multiple Trajectories [1]) for fitting time series data into a non-linear dynamical system. When restricted to a specific basin of attraction, the long-term forecast of the process can be associated with the tendency towards the attracting stationary point. Following M.W. Hirsch's definition of dissipativity (a system with a global...
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Prof. Nicole Marheineke (Trier University)5/28/26, 9:00 AMInvited talk
In this talk, we discuss high-order commutator-based splitting methods for port-Hamiltonian systems, with a focus on preserving their intrinsic structure, in particular the dissipation inequality. Port-Hamiltonian systems provide a natural framework for modeling energy-conserving and dissipative processes, which is crucial for the accurate simulation of many physical systems. For...
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Prof. Chengming Huang (School of Mathematics and Statistics, Huazhong University of Science and Technology)5/28/26, 10:30 AMContributed talk
In this talk, we are concerned with the numerical solution of stiff ordinary differential equations by Runge-Kutta methods. A B-convergence result on infinite time intervals is provided for algebraically stable methods applied to strictly dissipative systems. As an application of this result, the $s$-stage Radau IIA methods are proved to be B-convergent of order $s$ on infinite time intervals,...
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Simone Di Donato (University of L'Aquila)5/28/26, 11:05 AMContributed talk
This talk investigates the geometric numerical integration of dissipative systems using Implicit-Explicit Runge-Kutta (IMEX-RK) schemes. We analyze the ability of these methods to maintain the dissipative nature of the exact flow within the numerical solution. This theoretical analysis leads to the construction of some structure-preserving schemes, the effectiveness of which is checked through...
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Thomas Beckers (Vanderbilt University)5/28/26, 2:00 PMInvited talk
Reliable models of dynamical systems are essential for tasks such as state estimation, prediction, and the implementation of safe control strategies. However, developing first-principles models for nonlinear systems is often time-consuming and requires significant expert knowledge. While machine learning offers an alternative, learned models frequently lack trustworthiness, generalizability,...
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Riccardo Morandin (OvGU Magdeburg)5/28/26, 3:30 PMContributed talk
Many physical processes can be naturally modeled using port-Hamiltonian (pH) systems, which are inherently passive and stable, and allow for structure-preserving interconnection, making them particularly suitable for the modeling of complex networks. Furthermore, many dedicated numerical methods have been developed to exploit and preserve the structure of pH systems, e.g. for space- and...
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Matthias Voigt (UniDistance Suisse)5/28/26, 4:05 PM
We present a novel passivity enforcement (passivation) method for linear time-invariant systems based on the Kalman-Yakubovich-Popov (KYP) lemma and the closely related Lur'e equations. The passivation problem in our framework corresponds to finding a perturbation to a given non-passive system that renders the system passive while minimizing the $\mathcal{H}_2$-norm distance between the...
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Volker Mehrmann (TU Berlin, Inst. f. Mathematik)5/29/26, 9:00 AMInvited talk
Different representations of asymptotically/exponentially stable evolution equations are studied. These arise from the solution of Lyapunov inequalities. We discuss the construction of optimal representations via different criteria: Field of values, optimal decay, maximal coercivity, distance to instability. We discuss finite dimensional problems and infinite dimensional problems with bounded...
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Johnson Audu (Prince Mohammed Bin Fahd University)5/29/26, 10:30 AMContributed talk
In this work, we investigate the dissipative structure of a class of nonlinear coupled suspension bridge systems governed by partial differential equations with memory effects.
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We develop an energy based analytical framework that combines multiplier techniques with Lyapunov functionals tailored to the underlying physical energy of the system. This approach allows us to characterize the... -
Till Preuster (Technische Universität Chemnitz)5/29/26, 11:05 AMContributed talk
Model Predictive Control (MPC) provides a powerful optimization-based framework for feedback design, but its real-time deployment remains computationally demanding. Suboptimal MPC schemes address this issue by terminating the underlying optimal control solver prematurely, thereby trading optimality for computational tractability.
In this talk, we develop a suboptimal MPC approach tailored...
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Timm Faulwasser (Hamburg University of Technology)5/29/26, 11:40 AM
Port-Hamiltonian (pH) systems provide a highly structured and physically motivated framework for modeling and controlling complex dynamical systems by explicitly capturing energy-based dynamics, dissipation, and interconnection geometry. However, many practical physical systems exhibit non-polynomial non-linearities that hinder the application of modern constructive control design methods,...
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