activity
20182023
most citedLearning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning

5 citations · 6 across the 7 of their papers we have counts for

collaborators

9 papers

cs.LG2023★ 5 cited

Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning

Jan Kaiser, Chenran Xu, Annika Eichler +9

Online tuning of real-world plants is a complex optimisation problem that continues to require manual intervention by experienced human operators. Autonomous tuning is a rapidly ex…

eess.SY2023

Structured IQC Synthesis of Robust Controllers in the Frequency Domain

Maximilian Schütte, Annika Eichler, Herbert Werner

The problem of robust controller synthesis for plants affected by structured uncertainty, captured by integral quadratic constraints, is discussed. The solution is optimized toward…

eess.SY2022

Online Computation of Terminal Ingredients in Distributed Model Predictive Control for Reference Tracking

Ahmed Aboudonia, Goran Banjac, Annika Eichler +1

A distributed model predictive control scheme is developed for tracking piecewise constant references where the terminal set is reconfigured online, whereas the terminal controller…

eess.SY2020★ 1 cited

Multiperiod Stochastic Peak Shaving Using Storage

Benjamin Flamm, Guillermo Ramos, Annika Eichler +1

We present an online stochastic model predictive control framework for demand charge management for a grid-connected consumer with attached electrical energy storage. The consumer…

eess.SY2020

Distributed Model Predictive Control with Reconfigurable Terminal Ingredients for Reference Tracking

Ahmed Aboudonia, Annika Eichler, Francesco Cordiano +2

Various efforts have been devoted to developing stabilizing distributed Model Predictive Control (MPC) schemes for tracking piecewise constant references. In these schemes, termina…

eess.SY2020

Distributed Model Predictive Control with Asymmetric Adaptive Terminal Sets for the Regulation of Large-scale Systems

Ahmed Aboudonia, Annika Eichler, John Lygeros

In this paper, a novel distributed model predictive control (MPC) scheme with asymmetric adaptive terminal sets is developed for the regulation of large-scale systems with a distri…

eess.SY2020

Distributed Control Design for Heterogeneous Interconnected Systems

Yvonne R. Stürz, Annika Eichler, Roy S. Smith

This paper presents scalable controller synthesis methods for heterogeneous and partially heterogeneous systems. First, heterogeneous systems composed of different subsystems that…

math.OC2019

Two-Stage Dual Dynamic Programming with Application to Nonlinear Hydro Scheduling

Benjamin Flamm, Annika Eichler, Joseph Warrington +1

We present an approximate method for solving nonlinear control problems over long time horizons, in which the full nonlinear model is preserved over an initial part of the horizon,…

math.OC2018

Distributed Model Predictive Control for Linear Systems with Adaptive Terminal Sets

Georgios Darivianakis, Annika Eichler, John Lygeros

In this paper, we propose a distributed model predictive control (DMPC) scheme for linear time-invariant constrained systems which admit a separable structure. To exploit the merit…