Methodische Grundlagen
Published
Relaxed Recentered Log-Barrier Function based Nonlinear Model Predictive Control
2023 European Control Conference (ECC)
Pages 1-6
Published
Topological Obstructions to Stability and Stabilization: History, Recent Advances and Open Problems
Springer Briefs in Electrical and Computer Engineering
No 1
Pages 132
Published
On the Finite-Time Behavior of Suboptimal Linear Model Predictive Control
ArXiv
Published
Optimal Thrust Vector Control of an Electric Small-Scale Rocket Prototype
2022 International Conference on Robotics and Automation (ICRA)
Pages 1996-2002
Published
Implications of Regret on Stability of Linear Dynamical Systems
IFAC World Congress 2023
Published
Stokes, Gibbs and volume computation of semi-algebraic sets
Discrete and Computational Geometry
Vol 69
Pages 260-283
Control in a data rich world
Published
Learning Long-Term Crop Management Strategies with CyclesGym
36th Conference on Neural Information Processing Systems (NeurIPS 2022)
Published
Near-Optimal Multi-Agent Learning for Safe Coverage Control
36th Conference on Neural Information Processing Systems (NeurIPS 2022)
Published
Regularization for distributionally robust state estimation and prediction
IEEE Control System Letters
Vol 7
Pages 2713 - 2718
Published
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning
arXiv
Pages 30224-30251
Control of Dual-Sourcing Inventory Systems using Recurrent Neural Networks
62nd IEEE Conference on Decision and Control
Published
Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations
62nd IEEE Conference on Decision and Control
Published
Hamiltonian Deep Neural Networks Guaranteeing Nonvanishing Gradients by Design
IEEE Transactions on Automatic Control
Vol 68
No 5
Pages 3155-3162
Published
Real-time Projected Gradient-based Nonlinear Model Predictive Control with an Application to Anesthesia Control
CDC 2022
Published
Distributed data-driven predictive control for cooperatively smoothing mixed traffic flow
Transportation Research Part C: Emerging Technologies
Vol 155
Published
Near-optimal control of dynamical systems with neural ordinary differential equations
Machine Learning: Science and Technology
Vol 3
No 4
Published
Online Feedback Optimization of Compressor Stations with Model Adaptation using Gaussian Process Regression
Journal of Process Control
Vol 121
No 119
Published
Distributed Neural Network Control with Dependability Guarantees: a Compositional Port-Hamiltonian Approach
Proceedings of The 4th Annual Learning for Dynamics and Control Conference
Vol 168
Pages 571-583
Published
Near-Optimal Design of Safe Output Feedback Controllers from Noisy Data
IEEE Transactions on Automatic Control
Pages 1-16
Published
Neural System Level Synthesis: Learning Over All Stabilizing Policies for Nonlinear Systems
61st IEEE Conference on Decision and Control (CDC 2022)
Published
Deep Reinforcement Learning for Room Temperature Control: A Black-box Pipeline from Data to Policies
CISBAT 2021 special issue of IOP's JOURNAL OF PHYSICS Conference Series
Vol 2042
Published
Robust Generalization despite Distribution Shift via Minimum Discriminating Information
Conference on Neural Information Processing Systems (NeurIPS 2021)
Vol 34
Pages 29754-29767
Published
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models
Conference on Neural Information Processing Systems (NeurIPS 2021)
Pages 29780 - 29793
Published
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning
Advances in Neural Information Processing Systems
Vol 34
Pages 777--788
Published
Efficient Learning of a Linear Dynamical System with Stability Guarantees
IEEE Transactions on Automatic Control
Vol 68
No 5
Pages 2790-2804
Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems
Conference on Neural Information Processing Systems (NeurIPS 2021)
A Behavioral Input-Output Parametrization of Control Policies with Suboptimality Guarantees
60th IEEE Conference on Decision and Control (CDC21)
Distributionally Robust Optimization with Markovian Data
38th International Conference on Machine Learning (ICML 2021)
PopSkipJump: A Decision-based Adversarial Attack for Probabilistic Classifiers
38th International Conference on Machine Learning (ICML 2021)
Vol 139
Pages 9712 – 9721
A Unified Framework for Hamiltonian Deep Neural Networks
Proceedings of the 3rd Conference on Learning for Dynamics and Control
Vol 144
Pages 275 – 286
Control in an uncertain world
Published
Online Linear Quadratic Tracking with Regret Guarantees
IEEE Control Systems Letters
Pages 6
to Appear
A Dual System-Level Parameterization for Identification from Closed-Loop Data
62nd IEEE Conference on Decision and Control
to Appear
Model Predictive Control for Multi-Agent Systems Under Limited Communication and Time-Varying Network Topology
62nd IEEE Conference on Decision and Control
Published
A Generalized Stopping Criterion for Real-Time MPC with Guaranteed Stability
2023 62nd IEEE Conference on Decision and Control (CDC)
Published
Discrete Optimal Transport with Independent Marginals is #P-Hard
SIAM Journal on Optimization
Vol 33
No 2
Pages 589-614
Published
Relaxed Recentered Log-Barrier Function based Nonlinear Model Predictive Control
ECC 2023
Published
Universal Approximation Property of Hamiltonian Deep Neural Networks
IEEE Control System Letters
Vol 7
Pages 2689-2694
Published
Predictive safety filter using system level synthesis
Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR
Vol 211
Pages 1180-1192
Published
SOS Construction of Compatible Control Lyapunov and Barrier Functions
Proceedings of IFAC World congress
Published
Primal-Dual Contextual Bayesian Optimization for Control System Online Optimization With Time-Average Constraints
ArXiv
Published
Peak Value-at-Risk Estimation for Stochastic Differential Equations Using Occupation Measures
62nd IEEE Conference on Decision and Control
Published
Stochastic Wasserstein Gradient Flows using Streaming Data with an Application in Predictive Maintenance
ArXiv
Published
On the Regret of H∞ Control
2022 IEEE Conference on Decision and Control (CDC)
Pages 6181-6186
Published
Robust online joint state/input/parameter estimation of linear systems
2022 IEEE 61st Conference on Decision and Control (CDC)
Published
CONFIG: Constrained Efficient Global Optimization for Closed-Loop Control System Optimization With Unmodeled Constraints
ArXiv
Published
Constrained Efficient Global Optimization of Expensive Black-Box Functions
ArXiv
Published
Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions
Proceedings of, the 36th Conference on Neural Information Processing Systems (NeurIPS 2022)
Published
A Dynamic Population Model of Strategic Interaction and Migration under Epidemic Risk
2021 60th IEEE Conference on Decision and Control (CDC)
Pages 2085-2091
to Appear
VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints
arxiv
Published
Robust Classification Using Contractive Hamiltonian Neural ODEs
IEEE Control Systems Letters
Vol 7
Pages 145-150
Published
On Robustness in Optimization-Based Constrained Iterative Learning Control
IEEE Control Systems Letters
Vol 6
Pages 2846-2851
Published
GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical Systems
Artificial Intelligence
Vol 320
Pages 103922
Published
Safety-Aware Cascade Controller Tuning Using Constrained Bayesian Optimization
EEE Transactions on Industrial Electronics
Published
Safe Control with Minimal Regret
Proceedings of The 4th Annual Learning for Dynamics and Control Conference
Vol 168
Pages 726-738
Published
Performance-based Trajectory Optimization for Path Following Control Using Bayesian Optimization
2021 60th IEEE Conference on Decision and Control (CDC)
Pages 2116-2121
Emergence of Zipf's law among social networks influencers
Extended Abstract IFAC Workshop on Networked Systems
Published
Performance Bounds of Model Predictive Control for Unconstrained and Constrained Linear Quadratic Problems and Beyond
22nd IFAC World Congress
Vol 56
No 2
Pages 8464-8469
Published
Robust Resource-Aware Self-Triggered Model Predictive Control
IEEE Control Systems Letters
Pages 1724-1729
Urban Driving Games With Lexicographic Preferences and Socially Efficient Nash Equilibria
IEEE Robotics and Automation Letters
Vol 6
No 3
Pages 4978 – 4985
Published
Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical Solution
Mathematical Programming
Vol 199
Pages 1033-1106
Distributed hierarchical control & optimisation
Published
A Self-Contained Karma Economy for the Dynamic Allocation of Common Resources
Dynamic Games and Applications
Published
On Finding the Leader's Strategy in Quadratic Aggregative Stackelberg Pricing Games
European Control Conference (ECC 23)
Published
Factorization of Dynamic Games over Spatio-Temporal Resources
35th IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)
Pages 13159 - 13166
Published
Finite-sample-based Spectral Radius Estimation and Stabilizability Test for Networked Control Systems
2022 European Control Conference (ECC)
Pages 2087-2092
Published
Optimal policy design to mitigate epidemics on networks using an SIS model
2021 60th IEEE Conference on Decision and Control (CDC)
Pages 4266-4271
Published
Posetal Games: Efficiency, Existence, and Refinement of Equilibria in Games With Prioritized Metrics
IEEE Robotics and Automation Letters
Vol 7
No 2
Pages 1292-1299
Published
Sensitivity Conditioning: Beyond Singular Perturbation for Control Design on Multiple Time Scales
IEEE Transactions on Automatic Control
Vol 68
No 4
Pages 2309
Sampled-Data Online Feedback Equilibrium Seeking: Stability and Tracking
60th IEEE Conference on Decision and Control (CDC21)
Computergestützte Methoden
Published
Minimal Regret State Estimation of Time-Varying Systems
Proceedings of IFAC World congress 2023
Published
Stable Linear Subspace Identification: A Machine Learning Approach
ArXiv
Published
Sequential Quadratic Programming-based Iterative Learning Control for Nonlinear Systems
ArXiv
Published
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems
2023 American Control Conference (ACC)
Pages 3735-3750
Published
Safe Zeroth-Order Convex Optimization Using Quadratic Local Approximations
Proceedings of ECC2023
Published
PIQP: A Proximal Interior-Point Quadratic Programming Solver
62nd IEEE Conference on Decision and Control
to Appear
EdgeTDC: On the Security of Time Difference of Arrival Measurements in CAN Bus Systems
Network and Distributed System Security Symposium (NDSS)
Published
Visual Confined-Space Navigation Using an Efficient Learned Bilinear Optic Flow Approximation for Insect-Scale Robots
35th IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)
Published
Robustness of predictive energy harvesting systems: Analysis and adaptive prediction scaling
IET Computers & Digital Techniques
Vol 16
No 4
Pages 106-124
Published
Secure Communication with Batteryless Sensors
2022 11th Mediterranean Conference on Embedded Computing (MECO)
Pages 1-4
Published
Poster Abstract: Selective Flooding-Based Communication for Energy Harvesting Networks
2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)
Published
Accurate Onboard Predictions for Indoor Energy Harvesting using Random Forests
2022 11th Mediterranean Conference on Embedded Computing (MECO)
Pages 1-6
Published
Joint Energy Management for Distributed Energy Harvesting Systems
SenSys '21: Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems
Pages 575-577
Published
Risk-averse Heteroscedastic Bayesian Optimization
Advances in Neural Information Processing Systems
Vol 34
Pages 17235--17245
Scalable and correct by design synthesis
Published
Learning to Boost the Performance of Stable Nonlinear Systems
IEEE Open Journal of Control Systems (OJ-CSYS)
Vol 3
Pages 342 - 357
Published
Follow the Clairvoyant: An Imitation Learning Approach to Optimal Control
Proceedings of IFAC World congress 2023
Published
Physically Consistent Multiple-Step Data-Driven Predictions Using Physics-Based Filters
IEEE Contro Systems Letters
Vol 7
Pages 1885-1890
Published
Categorification of Negative Information using Enrichment
5th Annual International Applied Category Theory Conference (ACT 2022)
Published
Stability Verification of Neural Network Controllers using Mixed-Integer Programming
IEEE Transactions on Automatic Control
Published
Analysis and Control of Autonomous Mobility-on-Demand Systems
Annual Review of Control, Robotics, and Autonomous Systems
Vol 5
Pages 633-658
Published
Game Theory to Study Interactions between Mobility Stakeholders
24th IEEE International Conference on Intelligent Transportation Systems (ITSC)
Pages 2054-2061
Published
Resource-Aware Stochastic Self-Triggered Model Predictive Control
IEEE Control Systems Letters
Vol 6
Pages 1262 – 1267
Limits and Colimits in a Category of Lenses
4th Annual International Applied Category Theory Conference (ACT)
Published
Co-design of embodied intelligence: A structured approach
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Pages 7536-7543
Exploiting Spatial and Temporal Correlation for Event-driven Communication in WSNs
Conference on Embedded Networked Sensor Systems (Sensys2021)
Co-Design of Autonomous Systems: From Hardware Selection to Control Synthesis
IEEE European Control Conference
Game Theoretical Motion Planning - Tutorial session
IEEE International Conference on Robotics and Automation (ICRA)
Secure Cyber-Physical Systems
Published
ZenHammer: Rowhammer Attacks on AMD Zen-based Platforms
33rd USENIX Security Symposium (USENIX Security 2024)
Published
BLASTER: Characterizing the Blast Radius of Rowhammer
3rd Workshop on DRAM Security (DRAMSec) co-located with ISCA 2023
Published
REGA: Scalable Rowhammer Mitigation with Refresh-Generating Activations
2023 IEEE Symposium on Security and Privacy (SP)
Published
LTrack: Stealthy Tracking of Mobile Phones in LTE
31st USENIX Security Symposium (USENIX Security 22)
Pages 1291-1306
Published
Ghost Peak: Practical Distance Reduction Attacks Against HRP UWB Ranging
31st USENIX Security Symposium (USENIX Security 22
Pages 1343-1359
Published
ProTRR: Principled yet Optimal In-DRAM Target Row Refresh
2022 IEEE Symposium on Security and Privacy (SP)
Pages 735-753
Published
Blacksmith: Scalable Rowhammering in the Frequency Domain
2022 IEEE Symposium on Security and Privacy (SP)
Pages 716-734
Published
Demo Abstract: DPP3e: A Harvesting-based Dual Processor Platform for Advanced Indoor Environmental Sensing
2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)
Pages 495-496
Energiesysteme
Published
"Rule-Based Deep Reinforcement Learning for Optimal Control of Electrical Batteries in an energy Community"
European Conference On Safety And Reliability (ESREL)
Published
Employing Imbalance Forecasts to Proactively Counteract Deterministic Frequency Deviations
2023 IEEE Belgrade PowerTech
Published
Adaptive Robust Data-Driven Building Control via Bilevel Reformulation: An Experimental Result
IEEE Transactions on Control Systems Technology
Vol 31
No 6
Pages 2420 - 2436
Published
Optimal control configuration in distribution network via an exact OPF relaxation method
2022 IEEE 61st Conference on Decision and Control (CDC)
Pages 5698-5704
Published
Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging simple Rules
ArXiv
Published
Uncertainty-Aware Energy Flexibility Quantification of a Residential Building
2023 ISGT Europe
Pages 1-6
Published
Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control
IEEE 17th International Conference on Control & Automation (ICCA)
Pages 698-703
Published
Optimal Adaptive Droop Design via a Modified Relaxation of the OPF
IEEE Transactions on Control Systems Technology
Vol 31
No 2
Pages 497-510
to Appear
Optimal droop control placement in distribution network via an exact OPF relaxation method
61st IEEE Conference on Decision and Control (CDC 2022)
End-to-end automated energy system
Published
Reliability Study of an Adjustable Hybrid Switch (ahs) for a High Power Automotive Converter
IEEE Journal of Emerging and Selected Topics in Power Electronics
Published
Adaptive real-time grid operation via Online Feedback Optimization with sensitivity estimation
Electric Power Systems Research
Vol 212
Pages 108405
Published
Adaptive Data-Driven Predictive Control as a Module in Building Control Hierarchy: A Case Study of Demand Response in Switzerland
ArXiv
Published
"Safe Reinforcement Learning for Strategic Bidding of Virtual Power Plants in Day-Ahead Markets"
SmartGridComm 2023
Published
Frequency divider as a continuum
IEEE Transactions on Power Systems
Vol 37
No 6
Pages 4970-4973
Published
Deployment of an Online Feedback Optimization Controller for Reactive Power Flow Optimization in a Distribution Grid
ArXiv
Published
Virtual Power Grid Reinforcement via Coordinated Volt/VAr Control
ArXiv
Published
Maximum likelihood estimation of distribution grid topology and parameters from smart meter data
Grid edge technologies 2023
Published
Tractable Identification of Electric Distribution Networks
62nd IEEE Conference on Decision and Control
Published
On the emulation of synchronous machine dynamics by converter-interfaced generators
ArXiv
Published
Real-time Curative Actions for Power Systems via Online Feedback Optimization
ArXiv
Published
Real-Time Feasibility of Data-Driven Predictive Control for Synchronous Motor Drives
IEEE Transactions on Power Electronics
Vol 38
No 2
Pages 1672
Published
Voltage stability enhancement through active power control of converter-interfaced generation
2022 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia)
Pages 550-554
to Appear
Physically Consistent Neural Networks for building thermal modeling: theory and analysis
Applied Energy
Vol 325
Published
Stability criterion of a class of non-causal systems of differential equations
Circuits, Systems, and Signal Processing
Vol 42
Pages 2452–2467
Published
Control of Multicarrier Energy Systems from Buildings to Networks
Annual Review of Control, Robotics, and Autonomous Systems
Vol 6
No 1
Pages 391-414
Published
Bayesian Error-in-Variables Models for the Identification of Distribution Grids
IEEE Transactions on Smart Grid
Vol 14
No 2
Published
Moving-Horizon State Estimation for Power Networks and Synchronous Generators
arxiv
Published
Game-Theoretic Energy Source Allocation Mechanism in Smart-Grids
2022 IEEE 7th International Energy Conference (ENERGYCON)
Pages 1-6
Published
Differentially-Private Heat and Electricity Markets Coordination
2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
Pages 1-6
Published
Improving Stability of Low-Inertia Systems using Virtual Induction Machine Synchronization for Grid-Following Converters
IEEE Transactions on Power Systems
Pages 1-14
Published
Incentive-based electric vehicle charging for managing bottleneck congestion
European Journal of Control
Published
A dynamic behavioral model of the long-term development of solar photovoltaic generation driven by feed-in tariffs
Energy
Vol 256
to Appear
Receding Horizon Games with Coupling Constraints for Demand-Side Management
61st IEEE Conference on Decision and Control (CDC 2022)
Fast Mapping of Flexibility Regions at TSO-DSO Interfaces under Uncertainty
arxiv
Online Feedback Droop Scheduling in Distribution Grids for Frequency and Local Voltage Control
arxiv
Published
Multiple Ancillary Services Provision by Distributed Energy Resources in Active Distribution Networks
arXiv
Published
Bayesian Methods for the Identification of Distribution Networks
2021 60th IEEE Conference on Decision and Control (CDC)
Pages 3646-3651
Published
Data-driven control of room temperature and bidirectional EV charging using deep reinforcement learning: Simulations and experiments
Applied Energy
Vol 307
Pages 118127
Published
Cross-layer design for real-time grid operation: Estimation, optimization and power flow
Electric Power Systems Research
Vol 212
No 108378
Primary Frequency Control Provision by Distributed Energy Resources in Active Distribution Networks
IEEE PowerTech
The Potential of Vehicle-to-Grid to Support the Energy Transition: A Case Study on Switzerland
MDPI Energies
Vol 14
No 16
Mobilität der Zukunft
Published
Train traffic control in merging stations: a data-driven approach
Transportation Research
Vol 152
Published
How Bad is Selfish Driving? Bounding the Inefficiency of Equilibria in Urban Driving Games
IEEE Robotics and Automation Letters
Vol 8
No 4
Pages 2293
Published
Enhancing Efficiency and Reliability of Electric Vehicles via Adaptive E-Gear Control
(ITCS) IEEE 26th International Conference on Intelligent Transportation Systems
Published
Data-Enabled Predictive Control for Empty Vehicle Rebalancing
European Control Conference (ECC 23)
Published
Hierarchical Pricing Game for Balancing the Charging of Ride-Hailing Electric Fleets
IEEE Transactions on Control Systems Technology
Published
Factorization of Multi-Agent Sampling-Based Motion Planning
62nd IEEE Conference on Decision and Control
Published
Believe me! Why tesla’s recent alleged malfunction further highlights the need for transparent dialogue
Frontiers in Transplantation
Vol 4
Published
On the utilization of dedicated bus lanes for pooled ride-hailing services
Transportation Research Part B: Methodological
Vol 169
Pages 29-52
Published
Task-driven modular co-design of vehicle control systems
2022 IEEE 61st Conference on Decision and Control (CDC)
Published
Co-Design to Enable User-Friendly Tools to Assess the Impact of Future Mobility Solutions
IEEE Transactions on Network Science and Engineering
Pages 1-18
Published
Direct multiple shooting for computationally efficient train trajectory optimization
Transportation Research
Vol 152
Published
Heuristics of Set Covering in a Benders Decomposition for Railway Timetabling
Expert Systems with Applications
Vol 159
Published
Integrated speed modeling and traffic management to precisely model the effect and dynamics of temporary speed restrictions to high-speed railway traffic
Transportation Research
Vol 152
Published
Idle-vehicle rebalancing coverage control for ride-sourcing systems
2022 European Control Conference (ECC)
Pages 1970-1975
Published
Accelerating logic-based Benders Decomposition for Railway Rescheduling by exploiting similarities in delays
Computers and Operations Research
Vol 150
Published
Evaluating the Effects of Disruptions on the Behavior of Travelers in a Multimodal Network Utilizing Agent-Based Simulation
Transportation Reserach Record: Journal of the Transportation Research Board
Published
A Pricing Mechanism for Balancing the Charging of Ride Hailing Electric Vehicle Fleets
2022 European Control Conference (ECC)
Pages 1976-1981
Published
Modeling and Quantifying Interaction of Information and Capacity in Public Transport Disruptions
Journal of Advanced Transportation
Vol 2021
Published
Enhancing the interaction of railway timetabling and line planning with infrastructure awareness
Transportation Research
Vol 142
Stabilization of city-scale road traffic networks via macroscopic fundamental diagram-based model predictive perimeter control
Control Engineering Practice
Vol 109
No 104750
Modeling, estimation, and control in large-scale urban road networks with remaining travel distance dynamics
Transportation Research Part C: Emerging Technologies
Vol 128
No 103157
Industrie 4.0
Published
Autonomous and data-efficient optimization of turning processes using expert knowledge and transfer learning
Journal of Materials Processing Technology
Vol 303
Pages 117540
Published
Multi-robot task allocation for safe planning against stochastic hazard dynamics
2023 European Control Conference (ECC)
Published
Stress flow guided non-planar print trajectory optimization for additive manufacturing of anisotropic polymers
Additive Manufacturing
Published
Regret Analysis of Online Gradient Descent-based Iterative Learning Control with Model Mismatch
Proceedings of the 2022 IEEE 61st Conference on Decision and Control (CDC)
Published
Certification of Bottleneck Task Assignment With Shortest Path Criteria
IEEE Robots and Automation
Vol 8
Pages 4545-4552
Published
Meta-Learning Priors for Safe Bayesian Optimization
Proceedings of The 6th Conference on Robot Learning
Pages 205-237
Published
Information-Operation Technology Integration in Industrial Cyberphysical Systems
Computer
Vol 55
No 11
Pages 115-118
Published
Data-Driven Process Optimization of Fused Filament Fabrication based on In Situ Measurements
ArXiv
Published
Controller-Aware Dynamic Network Management for Industry 4.0
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
Published
In-layer Thermal Control of a Multi-layer Selective Laser Melting Process
2022 European Control Conference (ECC)
Pages 1678 - 1683
Published
Learning-Based Repetitive Precision Motion Control with Mismatch Compensation
60th IEEE Conference on Decision and Control (CDC 2021)
Pages 3605-3610
to Appear
Batch Model Predictive Control for Selective Laser Melting
2022 European Control Conference (ECC)
Plasma Spray Process Parameters Configuration using Sample-efficient Batch Bayesian Optimization
IEEE International Conference on Automation Science and Engineering (CASE)
Safe and Efficient Model-free Adaptive Control via Bayesian Optimization
IEEE International Conference on Robotics and Automation (ICRA 2021)