7 papers
A Generalized Plant Perspective on Linear-Convex Feedback Optimization
Fabian Jakob, Andrea Iannelli
Feedback optimization is a control approach for driving a dynamical system to the solution of an optimization problem by interconnecting the plant with an algorithm. Existing stabi…
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…
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…
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…
Accelerated ADMM: Automated Parameter Tuning and Improved Linear Convergence
Meisam Tavakoli, Fabian Jakob, Guido Carnevale +2
This work studies the linear convergence of an accelerated scheme of the Alternating Direction Method of Multipliers (ADMM) for strongly convex and Lipschitz-smooth problems. We us…
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…