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Papers matching “control optimization” 221

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Benchmark of Bayesian Optimization and Metaheuristics for Control Engineering Tuning Problems with Crash Constraints
2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Dirk Abel

6

citations
Fast and Robust Consensus-Based Optimization via Optimal Feedback Control
2026 SIAM Journal on Scientific Computing article Computer Science Metaheuristic Optimization Algorithms Research Open access

Yuyang Huang, Michaël Herty, Dante Kalise, Nikolas Kantas

2

citations
Fast and robust consensus-based optimization via optimal feedback control
2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Yuyang Huang, Michaël Herty, Dante Kalise, Nikolas Kantas

0

citations
One-shot optimization for vehicle dynamics control systems
2022 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Advanced Multi-Objective Optimization Algorithms Open access

André Thomaser, Anna V. Kononova, Marc-Eric Vogt, Thomas Bäck

7

citations
Temporal Logic Control of Nonlinear Stochastic Systems with Online Performance Optimization
2026 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Alessandro Riccardi, Thom Badings, Luca Laurenti, Alessandro Abate, Bart De Schutter

0

citations
Learning event-triggered control from data through joint optimization
2021 IFAC Journal of Systems and Control article Computer Science Reinforcement Learning in Robotics Open access

Niklas Funk, Dominik Baumann, Vincent Berenz, Sebastian Trimpe

23

citations
A Comprehensive Review of Optimization-Driven Design of Attribute-Based Encryption Schemes: Security Models, Optimization Techniques, and Emerging Computing Applications
2025 International Journal on Advanced Computer Theory and Engineering article Computer Science Cryptography and Data Security Open access

Emily L. Thompson, Karl Schneider, Alexei Petrov

0

citations
Data-Driven Qubit Characterization and Optimal Control using Deep Learning
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Paul Surrey, Julian D. Teske, Tobias Hangleiter, Hendrik Bluhm, Pascal Cerfontaine

0

citations
Data-Driven Qubit Characterization and Optimal Control using Deep Learning
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Paul Surrey, Julian D. Teske, Tobias Hangleiter, Hendrik Bluhm, Pascal Cerfontaine

0

citations
Analytic Filter-Function Derivatives for Quantum Optimal Control
2022 Physical Review Applied article Computer Science Quantum Computing Algorithms and Architecture Open access

Isabel Nha Minh Le, Julian D. Teske, Tobias Hangleiter, Pascal Cerfontaine, Hendrik Bluhm

15

citations
GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems
2023 Artificial Intelligence article Computer Science Reinforcement Learning in Robotics Open access

Bhavya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Sebastian Trimpe, Dominik Baumann

12

citations
Application of RL in control systems using the example of a rotatory inverted pendulum
2024 conference-paper Computer Science Reinforcement Learning in Robotics Open access

René Rütters, Michael Bragard

0

citations
A Tutorial on Convex Design of Optimization Algorithms by Integral Quadratic Constraints
2025 Annual Review of Control Robotics and Autonomous Systems review Computer Science Stochastic Gradient Optimization Techniques Open access

Carsten W. Scherer, Christian Ebenbauer

3

citations
Block-Bench: A Framework for Controllable and Transparent Discrete Optimization Benchmarking
2026 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

Furong Ye, Frank Neumann, Thomas Bäck, Bas van Stein

0

citations
Reinforcement Learning for Quality-Oriented Production Process Parameter Optimization Based on Predictive Models
2023 Advances in transdisciplinary engineering book-chapter Computer Science Reinforcement Learning in Robotics Open access

Akshay Paranjape, Nils Plettenberg, Markus Ohlenforst, Robert Heinrich Schmitt

2

citations
Turbocharger Control for Emission Reduction Based on Deep Reinforcement Learning
2023 IFAC-PapersOnLine article Computer Science Reinforcement Learning in Robotics Open access

Mario Picerno, Lucas Koch, Kevin Badalian, Sung-Yong Lee, Jakob Andert

6

citations
An Eikonal Equation with Vanishing Lagrangian Arising in Global Optimization
2023 Applied Mathematics & Optimization article Computer Science Optimization and Variational Analysis Open access

Martino Bardi, Hicham Kouhkouh

6

citations
An Adaptive Consensus Based Method for Multi-objective Optimization with Uniform Pareto Front Approximation
2023 Applied Mathematics & Optimization article Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Giacomo Borghi, Michaël Herty, Lorenzo Pareschi

30

citations
qopt: An experiment-oriented Qubit Simulation and Quantum Optimal Control Package
2021 IEEE International Conference on Quantum Computing and Engineering (QCE) conference-paper Computer Science Quantum Computing Algorithms and Architecture Open access

Julian D. Teske, Hendrik Bluhm

1

citations
An adaptive consensus based method for multi-objective optimization with uniform Pareto front approximation
2022 RWTH Publications (RWTH Aachen) article Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Giacomo Borghi, Michaël Herty, Lorenzo Pareschi

0

citations
dCRAB-Optimized NMR Control Pulses for Theoretical Performance Benchmarking within JuMPO
2026 Jülich DATA dataset Computer Science Quantum Computing Algorithms and Architecture Open access

Federico Bianchi

0

citations
An Eikonal equation with vanishing Lagrangian arising in Global Optimization
2022 RWTH Publications (RWTH Aachen) article Computer Science Optimization and Variational Analysis Open access

Martino Bardi, Hicham Kouhkouh

0

citations
Adaptive Control Strategies for Networked Systems: A Reinforcement Learning-Based Approach
2025 Electronics article Computer Science Reinforcement Learning in Robotics Open access

André Gilerson, Niklas Bünte, Pierre Kehl, Robert Heinrich Schmitt

1

citations
Reinforcement Learning Agent for Multi-Objective Online Process Parameter Optimization of Manufacturing Processes
2025 Applied Sciences article Computer Science Advanced Multi-Objective Optimization Algorithms Open access cited by 1 patent

Akshay Paranjape, Nahid Quader, Lars Uhlmann, Benjamin Berkels, Dominik Wolfschläger, Robert Heinrich Schmitt, +1 more

4

citations
GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical Systems
2022 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bhavya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Dominik Baumann

0

citations