activity
20182024
most citedClosed-form H-infinity Optimal Control for a Class of Infinite-Dimensional Systems

12 citations · 19 across the 5 of their papers we have counts for

collaborators

6 papers

cs.HC2024

Source Data Selection for Brain-Computer Interfaces based on Simple Features

Frida Heskebeck, Carolina Bergeling, Bo Bernhardsson

This paper demonstrates that simple features available during the calibration of a brain-computer interface can be utilized for source data selection to improve the performance of…

cs.AI2022★ 5 cited

Multi-Armed Bandits in Brain-Computer Interfaces

Frida Heskebeck, Carolina Bergeling, Bo Bernhardsson

The multi-armed bandit (MAB) problem models a decision-maker that optimizes its actions based on current and acquired new knowledge to maximize its reward. This type of online deci…

math.OC2021★ 12 cited

Closed-form H-infinity Optimal Control for a Class of Infinite-Dimensional Systems

Carolina Bergeling, Kirsten A. Morris, Anders Rantzer

H-infinity optimal control and estimation are addressed for a class of systems governed by partial differential equations with bounded input and output operators. Diffusion equatio…

math.OC2019

On the Optimal Control of Relaxation Systems

Richard Pates, Carolina Bergeling, Anders Rantzer

The relaxation systems are an important subclass of the passive systems that arise naturally in applications. We exploit the fact that they have highly structured state-space reali…

math.OC2019★ 1 cited

On Closed-form H-infinity Optimal Control and Large-scale Systems

Carolina Bergeling, Richard Pates, Anders Rantzer

We address a class of systems for which the solution to an H-infinity optimal control problem can be given on a very simple closed form. In fact, both the control law and optimal p…

math.OC2018★ 1 cited

Operator Splitting Performance Estimation: Tight contraction factors and optimal parameter selection

Ernest K. Ryu, Adrien B. Taylor, Carolina Bergeling +1

We propose a methodology for studying the performance of common splitting methods through semidefinite programming. We prove tightness of the methodology and demonstrate its value…