collaborators

6 papers

math.OC2026

Stochastic Gradient Descent with Momentum: Analysis and Synthesis via Integral Quadratic Constraints

Dennis Gramlich, Carsten W. Scherer, Christian Ebenbauer

This article applies dynamic integral quadratic constraints (IQCs) to the analysis and synthesis of accelerated stochastic gradient algorithms. We consider composite objective func…

math.OC2026

Global Stability and Step Size Robustness of RMSProp

Naum Dimitrieski, Maria Christine Honecker, Carsten Scherer +1

In this paper, an input-to-state Lyapunov function for the RMSProp optimization algorithm is introduced. Global asymptotic stability of the RMSProp algorithm for constant step size…

math.OC2026

Structure, Analysis, and Synthesis of First-Order Algorithms

Jared Miller, Carsten Scherer, Fabian Jakob +1

Optimization algorithms can be interpreted through the lens of dynamical systems as the interconnection of linear systems and a set of subgradient nonlinearities. This dynamical sy…

math.OC2026

Analysis and Synthesis of Switched Optimization Algorithms

Jared Miller, Fabian Jakob, Carsten Scherer +1

Deployment of optimization algorithms over communication networks face challenges associated with time delays and corruptions. Fixed time delays can destabilize popular gradient-ba…

math.OC2025

Distributionally robust LMI synthesis for LTI systems

Dennis Gramlich, Shuhao Yan, Carsten W. Scherer +1

This article shows that distributionally robust controller synthesis as investigated in \cite{taskesen2024distributionally} can be formulated as a convex linear matrix inequality (…

math.OC2025

Distributional Robustness in Output Feedback Regret-Optimal Control

Shuhao Yan, Carsten W. Scherer

This paper studies distributionally robust regret-optimal (DRRO) control with purified output feedback for linear systems subject to additive disturbances and measurement noise. Th…