Sergio Lucia
Orcid: 0000-0002-3347-5593Affiliations:
- 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 71 papers
between 2013 and 2024.
Collaborative distances:
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Bibliography
2024
Resilient Model Predictive Control of Distributed Systems Under Attack Using Local Attack Identification.
SN Comput. Sci., January, 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
Annu. Rev. Control., January, 2023
A Polynomial Chaos Approach to Robust Static Output-Feedback Control With Bounded Truncation Error.
IEEE Trans. Autom. Control., 2023
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
IEEE Trans. Autom. Control., 2022
Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2022
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
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
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
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
IEEE Trans. Ind. Informatics, 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
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
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
Syst. Control. Lett., 2020
Tube-enhanced Multi-stage MPC for Flexible Robust Control of Constrained Linear Systems with Additive and Parametric Uncertainties.
CoRR, 2020
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
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
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
CoRR, 2019
Deep Learning-Based Magnetic Coupling Detection for Advanced Induction Heating Appliances.
IEEE Access, 2019
Proceedings of the 5th IEEE World Forum on Internet of Things, 2019
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
Proceedings of the 27th IEEE International Symposium on Industrial Electronics, 2018
Proceedings of the 16th European Control Conference, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
2017
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
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
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
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
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
Proceedings of the 2014 IEEE Conference on Control Applications, 2014
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