24 citations · 40 across the 40 of their papers we have counts for
11 papers · 1 filter
BP-MPC: Optimizing the Closed-Loop Performance of MPC using BackPropagation
Riccardo Zuliani, Efe C. Balta, John Lygeros
Model predictive control (MPC) is pervasive in research and industry. However, designing the cost function and the constraints of the MPC to maximize closed-loop performance remain…
Closed-Loop Finite-Time Analysis of Suboptimal Online Control
Aren Karapetyan, Efe C. Balta, Andrea Iannelli +1
Suboptimal methods in optimal control arise due to a limited computational budget, unknown system dynamics, or a short prediction window among other reasons. Although these methods…
Layer-to-Layer Melt Pool Control in Laser Powder Bed Fusion
Dominic Liao-McPherson, Efe C. Balta, Mohamadreza Afrasiabi +3
Additive manufacturing processes are flexible and efficient technologies for producing complex geometries. However, ensuring reliability and repeatability is challenging due to the…
Efficient safe learning for controller tuning with experimental validation
Marta Zagorowska, Christopher König, Hanlin Yu +3
Optimization-based controller tuning is challenging because it requires formulating optimization problems explicitly as functions of controller parameters. Safe learning algorithms…
Sequential Quadratic Programming-based Iterative Learning Control for Nonlinear Systems
Samuel Balula, Efe C. Balta, Dominic Liao-McPherson +2
Learning-based control methods for industrial processes leverage the repetitive nature of the underlying process to learn optimal inputs for the system. While many works focus on l…
Safe Risk-averse Bayesian Optimization for Controller Tuning
Christopher Koenig, Miks Ozols, Anastasia Makarova +3
Controller tuning and parameter optimization are crucial in system design to improve both the controller and underlying system performance. Bayesian optimization has been establish…
On the Finite-Time Behavior of Suboptimal Linear Model Predictive Control
Aren Karapetyan, Efe C. Balta, Andrea Iannelli +1
Inexact methods for model predictive control (MPC), such as real-time iterative schemes or time-distributed optimization, alleviate the computational burden of exact MPC by providi…
Online Linear Quadratic Tracking with Regret Guarantees
Aren Karapetyan, Diego Bolliger, Anastasios Tsiamis +2
Online learning algorithms for dynamical systems provide finite time guarantees for control in the presence of sequentially revealed cost functions. We pose the classical linear qu…
A Model Predictive Control Framework for Improving Risk-Tolerance of Manufacturing Systems
Mostafa Tavakkoli Anbarani, Efe C. Balta, Rômulo Meira-Góes +1
The need for control strategies that can address dynamic system uncertainty is becoming increasingly important. In this work, we propose a Model Predictive Control by quantifying t…
Stochastic Wasserstein Gradient Flows using Streaming Data with an Application in Predictive Maintenance
Nicolas Lanzetti, Efe C. Balta, Dominic Liao-McPherson +1
We study estimation problems in safety-critical applications with streaming data. Since estimation problems can be posed as optimization problems in the probability space, we devis…
Stress Flow Guided Non-Planar Print Trajectory Optimization for Additive Manufacturing of Anisotropic Polymers
Xavier Guidetti, Efe C. Balta, Yannick Nagel +3
When manufacturing parts using material extrusion additive manufacturing and anisotropic polymers, the mechanical properties of a manufactured component are strongly dependent on t…