24 citations · 40 across the 40 of their papers we have counts for
13 papers · 1 filter
Iterative Learning Control for Ramp Metering on Service Station On-ramps
Hongxi Xiang, Carlo Cenedese, Efe C. Balta +1
Congestion on highways has become a significant social problem due to the increasing number of vehicles, leading to considerable waste of time and pollution. Regulating the outflow…
Online Residual Learning from Offline Experts for Pedestrian Tracking
Anastasios Vlachos, Anastasios Tsiamis, Aren Karapetyan +2
In this paper, we consider the problem of predicting unknown targets from data. We propose Online Residual Learning (ORL), a method that combines online adaptation with offline-tra…
In-situ Controller Autotuning by Bayesian Optimization for Closed-loop Feedback Control of Laser Powder Bed Fusion Process
Baris Kavas, Efe C. Balta, Michael R. Tucker +4
Open-loop control of laser powder bed fusion (LPBF) additive manufacturing (AM) has enabled the production of complex, high-criticality parts for various industries. This method re…
Adaptive Bayesian Optimization for High-Precision Motion Systems
Christopher König, Raamadaas Krishnadas, Efe C. Balta +1
Controller tuning and parameter optimization are crucial in system design to improve closed-loop system performance. Bayesian optimization has been established as an efficient mode…
Swarm-Based Trajectory Generation and Optimization for Stress-Aligned 3D Printing
Xavier Guidetti, Efe C. Balta, John Lygeros
In this study, we present a novel swarm-based approach for generating optimized stress-aligned trajectories for 3D printing applications. The method utilizes swarming dynamics to s…
Inexact Policy Iteration Methods for Large-Scale Markov Decision Processes
Matilde Gargiani, Robin Sieber, Efe Balta +2
We consider inexact policy iteration methods for large-scale infinite-horizon discounted MDPs with finite spaces, a variant of policy iteration where the policy evaluation step is…
On the Regret of Recursive Methods for Discrete-Time Adaptive Control with Matched Uncertainty
Aren Karapetyan, Efe C. Balta, Anastasios Tsiamis +2
Continuous-time adaptive controllers for systems with a matched uncertainty often comprise an online parameter estimator and a corresponding parameterized controller to cancel the…
Data-Driven Extrusion Force Control Tuning for 3D Printing
Xavier Guidetti, Ankita Mukne, Marvin Rueppel +3
The quality of 3D prints often varies due to different conditions inherent to each print, such as filament type, print speed, and nozzle size. Closed-loop process control methods i…
Force Controlled Printing for Material Extrusion Additive Manufacturing
Xavier Guidetti, Nathan Mingard, Raul Cruz-Oliver +5
In material extrusion additive manufacturing, the extrusion process is commonly controlled in a feed-forward fashion. The amount of material to be extruded at each printing locatio…
Online Identification of Stochastic Continuous-Time Wiener Models Using Sampled Data
Mohamed Abdalmoaty, Efe C. Balta, John Lygeros +1
It is well known that ignoring the presence of stochastic disturbances in the identification of stochastic Wiener models leads to asymptotically biased estimators. On the other han…
Data-Enabled Predictive Iterative Control
Kai Zhang, Riccardo Zuliani, Efe C. Balta +1
This work introduces the Data-Enabled Predictive iteRative Control (DeePRC) algorithm, a direct data-driven approach for iterative LTI systems. The DeePRC learns from previous iter…
Closed-loop Performance Optimization of Model Predictive Control with Robustness Guarantees
Riccardo Zuliani, Efe C. Balta, John Lygeros
Model mismatch and process noise are two frequently occurring phenomena that can drastically affect the performance of model predictive control (MPC) in practical applications. We…
Predictive Linear Online Tracking for Unknown Targets
Anastasios Tsiamis, Aren Karapetyan, Yueshan Li +2
In this paper, we study the problem of online tracking in linear control systems, where the objective is to follow a moving target. Unlike classical tracking control, the target is…