collaborators

5 papers

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…

eess.SY2025

Adaptive Time-Domain Harmonic Control for Noise-Vibration-Harshness Reduction of Electric Drives

Klaus Herburger, Fabian Jakob, David Gänzle +2

Reducing Noise, Vibration, and Harshness (NVH) in electric drives is crucial for applications such as electric vehicle drivetrains and heat-pump compressors, where strict NVH requi…

math.OC2025

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

Online Convex Optimization and Integral Quadratic Constraints: An automated approach to regret analysis

Fabian Jakob, Andrea Iannelli

We propose a novel approach for analyzing dynamic regret of first-order constrained online convex optimization algorithms for strongly convex and Lipschitz-smooth objectives. Cruci…

math.OC2025

A Linear Parameter-Varying Framework for the Analysis of Time-Varying Optimization Algorithms

Fabian Jakob, Andrea Iannelli

In this paper we propose a framework to analyze iterative first-order optimization algorithms for time-varying convex optimization. We assume that the temporal variability is cause…