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20222026
most citedEfficient safe learning for controller tuning with experimental validation

1 citations · 4 across the 27 of their papers we have counts for

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6 papers · 1 filter

math.OC2026

A Unified Control-Theoretic Framework for Saddle-Point Dynamics in Constrained Optimization

Veronica Centorrino, Rawan Hoteit, Efe C. Balta +1

This paper studies equality-constrained minimization problems through the lens of feedback control. We introduce a unified control-theoretic framework by showing that a PID feedbac…

math.OC2025

Differentiable-by-design Nonlinear Optimization for Model Predictive Control

Riccardo Zuliani, Efe C. Balta, John Lygeros

Nonlinear optimization-based control policies, such as those those arising in nonlinear Model Predictive Control, have seen remarkable success in recent years. These policies requi…

math.OC20241 cited

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…

math.OC20241 cited

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…

math.OC2024

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…

math.OC2023

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…