10 citations · 20 across the 2 of their papers we have counts for
10 papers
Limit Behavior and the Role of Augmentation in Projected Saddle Flows for Convex Optimization
Adrian Hauswirth, Lukas Ortmann, Saverio Bolognani +1
In this paper, we study the stability and convergence of continuous-time Lagrangian saddle flows to solutions of a convex constrained optimization problem. Convergence of these flo…
Quantitative Sensitivity Bounds for Nonlinear Programming and Time-varying Optimization
Irina Subotić, Adrian Hauswirth, Florian Dörfler
Inspired by classical sensitivity results for nonlinear optimization, we derive and discuss new quantitative bounds to characterize the solution map and dual variables of a paramet…
On the Differentiability of Projected Trajectories and the Robust Convergence of Non-convex Anti-Windup Gradient Flows
Adrian Hauswirth, Florian Dörfler, Andrew Teel
This paper concerns a new class of discontinuous dynamical systems for constrained optimization. These dynamics are particularly suited to solve nonlinear, non-convex problems in c…
Non-convex Feedback Optimization with Input and Output Constraints
Verena Häberle, Adrian Hauswirth, Lukas Ortmann +2
In this paper, we present a novel control scheme for feedback optimization. That is, we propose a discrete-time controller that can steer the steady state of a physical plant to th…
Anti-Windup Approximations of Oblique Projected Dynamics for Feedback-based Optimization
Adrian Hauswirth, Florian Dörfler, Andrew Teel
In this paper we study how high-gain anti-windup schemes can be used to implement projected dynamical systems in control loops that are subject to saturation on a (possibly unknown…
Timescale Separation in Autonomous Optimization
Adrian Hauswirth, Saverio Bolognani, Gabriela Hug +1
Autonomous optimization refers to the design of feedback controllers that steer a physical system to a steady state that solves a predefined, possibly constrained, optimization pro…