10 papers
Online Feedback Optimization of Compressor Stations with Model Adaptation using Gaussian Process Regression
M. Zagorowska, M. Degner, L. Ortmann +4
Online Feedback Optimization is a method used to steer the operation of a process plant to its optimal operating point without explicitly solving a nonlinear constrained optimizati…
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…
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…
Wasserstein Distributionally Robust Look-Ahead Economic Dispatch
Bala Kameshwar Poolla, Ashish R. Hota, Saverio Bolognani +2
We consider the problem of look-ahead economic dispatch (LAED) with uncertain renewable energy generation. The goal of this problem is to minimize the cost of conventional energy g…
Today Me, Tomorrow Thee: Efficient Resource Allocation in Competitive Settings using Karma Games
Andrea Censi, Saverio Bolognani, Julian G. Zilly +2
We present a new type of coordination mechanism among multiple agents for the allocation of a finite resource, such as the allocation of time slots for passing an intersection. We…
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…