Sergio Lucia

Orcid: 0000-0002-3347-5593

Affiliations:
  • TU Berlin, Department of Telecommunication Systems, Germany
  • Otto von Guericke University Magdeburg, Institute of Automation Engineering, Germany


According to our database1, Sergio Lucia authored at least 80 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Resilient Model Predictive Control of Distributed Systems Under Attack Using Local Attack Identification.
SN Comput. Sci., January, 2024

Fourth-Order Suboptimality of Nominal Model Predictive Control in the Presence of Uncertainty.
IEEE Control. Syst. Lett., 2024

Deterministic Safety Guarantees for Learning-Based Control of Monotone Nonlinear Systems Under Uncertainty.
IEEE Control. Syst. Lett., 2024

Self-Supervised Learning of Iterative Solvers for Constrained Optimization.
CoRR, 2024

Robust model predictive control exploiting monotonicity properties.
CoRR, 2024

A Novel Koopman Representation for Efficient Linear Model Predictive Control of Nonlinear Systems.
Proceedings of the European Control Conference, 2024

Recursive Least Squares-Based Identification for Multi-Step Koopman Operators.
Proceedings of the European Control Conference, 2024

Learning Iterative Solvers for Accurate and Fast Nonlinear Model Predictive Control via Unsupervised Training.
Proceedings of the European Control Conference, 2024

Reinforced Model Predictive Control via Trust-Region Quasi-Newton Policy Optimization.
Proceedings of the European Control Conference, 2024

Safe and efficient multi-system neural controllers via reinforcement learning-based scheduling.
Proceedings of the 10th International Conference on Control, 2024

2023
Model predictive control and moving horizon estimation for adaptive optimal bolus feeding in high-throughput cultivation of <i>E. coli</i>.
Comput. Chem. Eng., April, 2023

Model Predictive Control of water resources systems: A review and research agenda.
Annu. Rev. Control., January, 2023

A Polynomial Chaos Approach to Robust Static Output-Feedback Control With Bounded Truncation Error.
IEEE Trans. Autom. Control., 2023

Improved Uncertainty Quantification for Neural Networks With Bayesian Last Layer.
IEEE Access, 2023

Probabilistic Multi-Step Identification With Implicit State Estimation for Stochastic MPC.
IEEE Access, 2023

Approximate Model Predictive Control Based on Neural Networks in a Cloud-Based Environment.
Proceedings of the 9th International Conference on Control, 2023

2022
Optimization-Based Predictive Congestion Control for the Tor Network: Opportunities and Challenges.
ACM Trans. Internet Techn., November, 2022

Attack Identification for Nonlinear Systems Based on Sparse Optimization.
IEEE Trans. Autom. Control., 2022

Towards Optimization-Based Predictive Congestion Control for the Tor Network.
Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2022

Robust Tube-Enhanced Multi-Stage NMPC With Stability Guarantees.
IEEE Control. Syst. Lett., 2022

On the Practical Design of Tube-Enhanced Multi-Stage Nonlinear Model Predictive Control.
CoRR, 2022

Model predictive control and moving horizon estimation for adaptive optimal bolus feeding in high-throughput cultivation of E. coli.
CoRR, 2022

Special issue in honor of Sebastian Engell.
Comput. Chem. Eng., 2022

Adaptively robust nonlinear model predictive control based on attack identification.
Autom., 2022

Deep Learning Implementation of Model Predictive Control for Multioutput Resonant Converters.
IEEE Access, 2022

Explainable artificial intelligence for deep learning-based model predictive controllers.
Proceedings of the 26th International Conference on System Theory, Control and Computing , 2022

Resilient Control of Interconnected Microgrids Under Attack by Robust Nonlinear MPC.
Proceedings of the 19th International Conference on Informatics in Control, 2022

Model predictive control with neural network system model and Bayesian last layer trust regions.
Proceedings of the 17th IEEE International Conference on Control & Automation, 2022

Guaranteed safe control of systems with parametric uncertainties via neural network controllers.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Robust MPC approaches for monotone systems<sup>*</sup>.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Fusion of Machine Learning and MPC under Uncertainty: What Advances Are on the Horizon?
Proceedings of the American Control Conference, 2022

2021
Deep Learning-Based Model Predictive Control for Resonant Power Converters.
IEEE Trans. Ind. Informatics, 2021

Teaching MPC: Which Way to the Promised Land?
CoRR, 2021

A Polynomial Chaos Approach to Robust H<sub>∞</sub> Static Output-Feedback Control with Bounded Truncation Error.
CoRR, 2021

Approximate moving horizon estimation and robust nonlinear model predictive control via deep learning.
Comput. Chem. Eng., 2021

Polynomial chaos-based H2 output-feedback control of systems with probabilistic parametric uncertainties.
Autom., 2021

Towards grassroots peering at the edge.
Proceedings of the M4IoT@Middleware 2021: Proceedings of the 8th International Workshop on Middleware and Applications for the Internet of Things, Virtual Event, Canada, December 6, 2021

Open Set Recognition for Machinery Fault Diagnosis.
Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

On the relationship between data-enabled predictive control and subspace predictive control.
Proceedings of the 2021 European Control Conference, 2021

2020
Efficient Representation and Approximation of Model Predictive Control Laws via Deep Learning.
IEEE Trans. Cybern., 2020

Stability properties of multi-stage nonlinear model predictive control.
Syst. Control. Lett., 2020

Tube-enhanced Multi-stage MPC for Flexible Robust Control of Constrained Linear Systems with Additive and Parametric Uncertainties.
CoRR, 2020

A new perspective on data-enabled predictive control.
CoRR, 2020

Sensor Artificial Intelligence and its Application to Space Systems - A White Paper.
CoRR, 2020

A probabilistic validation approach for penalty function design in Stochastic Model Predictive Control.
CoRR, 2020

Sparse Magnetometer-free Inertial Motion Tracking - A Condition for Observability in Double Hinge Joint Systems.
CoRR, 2020

Computing in the Blink of an Eye: Current Possibilities for Edge Computing and Hardware-Agnostic Programming.
IEEE Access, 2020

A Probabilistic Moving Horizon Estimation Framework Applied to the Visual-Inertial Sensor Fusion Problem.
Proceedings of the 18th European Control Conference, 2020

Identifying Attacks on Nonlinear Cyber-Physical Systems in a Robust Model Predictive Control Setup.
Proceedings of the 18th European Control Conference, 2020

Stability and feasibility of neural network-based controllers via output range analysis.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

A Hierarchical Attack Identification Method for Nonlinear Systems.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

PredicTor: Predictive Congestion Control for the Tor Network.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

2019
Modeling Enzyme Controlled Metabolic Networks in Rapidly Changing Environments by Robust Optimization.
IEEE Control. Syst. Lett., 2019

Probabilistic performance validation of deep learning-based robust NMPC controllers.
CoRR, 2019

Deep Learning-Based Magnetic Coupling Detection for Advanced Induction Heating Appliances.
IEEE Access, 2019

Smart Hot Water Control with Learned Human Behavior for Minimal Energy Consumption.
Proceedings of the 5th IEEE World Forum on Internet of Things, 2019

Improved Multi-Load Resonant Power Conversion Using Model Predictive Control.
Proceedings of the IECON 2019, 2019

Learning-based approximation of robust nonlinear predictive control with state estimation applied to a towing kite.
Proceedings of the 17th European Control Conference, 2019

2018
Optimized FPGA Implementation of Model Predictive Control for Embedded Systems Using High-Level Synthesis Tool.
IEEE Trans. Ind. Informatics, 2018

Towards low-energy, low-cost and high-performance IoT-based operation of interconnected systems.
Proceedings of the 4th IEEE World Forum on Internet of Things, 2018

Model Predictive Control for Resonant Power Converters Applied to Induction Heating.
Proceedings of the 27th IEEE International Symposium on Industrial Electronics, 2018

Deep learning-based embedded mixed-integer model predictive control.
Proceedings of the 16th European Control Conference, 2018

Robust Static H<sub>∞</sub> Output-Feedback Control Using Polynomial Chaos.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
A novel tube-based output feedback MPC for constrained linear systems.
Proceedings of the 2017 American Control Conference, 2017

Towards adaptive health-aware charging of Li-ion batteries: A real-time predictive control approach using first-principles models.
Proceedings of the 2017 American Control Conference, 2017

On stability of stochastic linear systems via polynomial chaos expansions.
Proceedings of the 2017 American Control Conference, 2017

2016
Predictive control, embedded cyberphysical systems and systems of systems - A perspective.
Annu. Rev. Control., 2016

Efficient stochastic model predictive control for embedded systems based on second-order cone programs.
Proceedings of the 15th European Control Conference, 2016

A non-conservative robust output feedback MPC for constrained linear systems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Exploiting models of different granularity in robust predictive control.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Improving scenario decomposition algorithms for robust nonlinear model predictive control.
Comput. Chem. Eng., 2015

Handling structural plant-model mismatch via multi-stage nonlinear model predictive control.
Proceedings of the 14th European Control Conference, 2015

An efficient distributed algorithm for multi-stage robust nonlinear predictive control.
Proceedings of the 14th European Control Conference, 2015

Efficient stochastic model predictive control based on polynomial chaos expansions for embedded applications.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Towards dual robust nonlinear model predictive control: A multi-stage approach.
Proceedings of the American Control Conference, 2015

2014
Multi-stage Nonlinear Model Predictive Control with verified robust constraint satisfaction.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Economic multi-stage output nonlinear model predictive control.
Proceedings of the 2014 IEEE Conference on Control Applications, 2014

An environment for the efficient testing and implementation of robust NMPC.
Proceedings of the 2014 IEEE Conference on Control Applications, 2014

2013
Robust nonlinear model predictive control of a batch bioreactor using multi-stage stochastic programming.
Proceedings of the 12th European Control Conference, 2013

Non-conservative robust Nonlinear Model Predictive Control via scenario decomposition.
Proceedings of the IEEE International Conference on Control Applications, 2013


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