Sergio Lucia

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 80

Top Topics

Predictive Control

Top Venues

Publications

Dean Brandner, Sergio Lucia
Reinforced Model Predictive Control via Trust-Region Quasi-Newton Policy Optimization. CoRR (2024)
Dean Brandner, Sergio Lucia
Reinforced Model Predictive Control via Trust-Region Quasi-Newton Policy Optimization. ECC (2024)
Florian Messerer, Katrin Baumgärtner, Sergio Lucia, Moritz Diehl
Fourth-Order Suboptimality of Nominal Model Predictive Control in the Presence of Uncertainty. IEEE Control. Syst. Lett. 8 (2024)
Omar Sayed, Sergio Lucia
Recursive Least Squares-Based Identification for Multi-Step Koopman Operators. ECC (2024)
Joshua Adamek, Moritz Heinlein, Lukas Lüken, Sergio Lucia
Deterministic Safety Guarantees for Learning-Based Control of Monotone Nonlinear Systems Under Uncertainty. IEEE Control. Syst. Lett. 8 (2024)
Lukas Lüken, Sergio Lucia
Learning Iterative Solvers for Accurate and Fast Nonlinear Model Predictive Control via Unsupervised Training. ECC (2024)
Sarah Braun, Sebastian Albrecht, Sergio Lucia
Resilient Model Predictive Control of Distributed Systems Under Attack Using Local Attack Identification. SN Comput. Sci. 5 (1) (2024)
Omar Sayed, Sergio Lucia
A Novel Koopman Representation for Efficient Linear Model Predictive Control of Nonlinear Systems. ECC (2024)
Jong Woo Kim, Niels Krausch, Judit Aizpuru, Tilman Barz, Sergio Lucia, Peter Neubauer, Mariano Nicolás Cruz Bournazou
. Comput. Chem. Eng. 172 (2023)
Yiming Wan, Dongying E. Shen, Sergio Lucia, Rolf Findeisen, Richard D. Braatz
A Polynomial Chaos Approach to Robust Static Output-Feedback Control With Bounded Truncation Error. IEEE Trans. Autom. Control. 68 (1) (2023)
Andrea Castelletti, Andrea Ficchì, Andrea Cominola, Pablo Segovia, Matteo Giuliani, Wenyan Wu, Sergio Lucia, Carlos Ocampo-Martinez, Bart De Schutter, José María Maestre
Model Predictive Control of water resources systems: A review and research agenda. Annu. Rev. Control. 55 (2023)
Felix Fiedler, Sergio Lucia
Probabilistic Multi-Step Identification With Implicit State Estimation for Stochastic MPC. IEEE Access 11 (2023)
Felix Fiedler, Sergio Lucia
Improved uncertainty quantification for neural networks with Bayesian last layer. CoRR (2023)
Sarah Braun, Sebastian Albrecht, Sergio Lucia
Resilient Model Predictive Control of Distributed Systems Under Attack Using Local Attack Identification. CoRR (2023)
Joshua Adamek, Sergio Lucia
Approximate Model Predictive Control Based on Neural Networks in a Cloud-Based Environment. CoDIT (2023)
Felix Fiedler, Sergio Lucia
Improved Uncertainty Quantification for Neural Networks With Bayesian Last Layer. IEEE Access 11 (2023)
Christian Utama, Benjamin Karg, Christian Meske, Sergio Lucia
Explainable artificial intelligence for deep learning-based model predictive controllers. ICSTCC (2022)
Sarah Braun, Sebastian Albrecht, Sergio Lucia
Adaptively robust nonlinear model predictive control based on attack identification. Autom. 70 (4) (2022)
Moritz Heinlein, Sankaranarayanan Subramanian, Marco Molnar, Sergio Lucia
. CDC (2022)
Christoph Döpmann, Felix Fiedler, Sergio Lucia, Florian Tschorsch
Optimization-Based Predictive Congestion Control for the Tor Network: Opportunities and Challenges. CoRR (2022)
Sarah Braun, Sebastian Albrecht, Sergio Lucia
Resilient Control of Interconnected Microgrids Under Attack by Robust Nonlinear MPC. ICINCO (2022)
Benjamin Karg, Sergio Lucia
Guaranteed safe control of systems with parametric uncertainties via neural network controllers. CDC (2022)
Jong Woo Kim, Niels Krausch, Judit Aizpuru, Tilman Barz, Sergio Lucia, Peter Neubauer, Mariano Nicolás Cruz Bournazou
Model predictive control and moving horizon estimation for adaptive optimal bolus feeding in high-throughput cultivation of E. coli. CoRR (2022)
Sarah Braun, Sebastian Albrecht, Sergio Lucia
Attack Identification for Nonlinear Systems Based on Sparse Optimization. IEEE Trans. Autom. Control. 67 (12) (2022)
Christoph Döpmann, Felix Fiedler, Sergio Lucia, Florian Tschorsch
Towards Optimization-Based Predictive Congestion Control for the Tor Network. Electron. Commun. Eur. Assoc. Softw. Sci. Technol. 80 (2022)
David Bermbach, Sergio Lucia, Vlado Handziski, Adam Wolisz
Towards Grassroots Peering at the Edge. CoRR (2022)
Pablo Guillén, Felix Fiedler, Héctor Sarnago, Sergio Lucia, Oscar Lucía
Deep Learning Implementation of Model Predictive Control for Multioutput Resonant Converters. IEEE Access 10 (2022)
Felix Fiedler, Sergio Lucia
Model predictive control with neural network system model and Bayesian last layer trust regions. ICCA (2022)
Radoslav Paulen, Sergio Lucia, Guido Sand
Special issue in honor of Sebastian Engell. Comput. Chem. Eng. 160 (2022)
Sankaranarayanan Subramanian, Yehia Abdelsalam, Sergio Lucia, Sebastian Engell
Robust Tube-Enhanced Multi-Stage NMPC With Stability Guarantees. IEEE Control. Syst. Lett. 6 (2022)
Ali Mesbah, Kim Peter Wabersich, Angela P. Schoellig, Melanie N. Zeilinger, Sergio Lucia, Thomas A. Badgwell, Joel A. Paulson
Fusion of Machine Learning and MPC under Uncertainty: What Advances Are on the Horizon? ACC (2022)
Christoph Döpmann, Felix Fiedler, Sergio Lucia, Florian Tschorsch
Optimization-Based Predictive Congestion Control for the Tor Network: Opportunities and Challenges. ACM Trans. Internet Techn. 22 (4) (2022)
Sankaranarayanan Subramanian, Yehia Abdelsalam, Sergio Lucia, Sebastian Engell
On the Practical Design of Tube-Enhanced Multi-Stage Nonlinear Model Predictive Control. CoRR (2022)
Timm Faulwasser, Sergio Lucia, Moritz Schulze Darup, Martin Mönnigmann
Teaching MPC: Which Way to the Promised Land? CoRR (2021)
Sergio Lucia, Denis Navarro, Benjamin Karg, Hector Sarnago, Óscar Lucía
Deep Learning-Based Model Predictive Control for Resonant Power Converters. IEEE Trans. Ind. Informatics 17 (1) (2021)
David Bermbach, Sergio Lucia, Vlado Handziski, Adam Wolisz
Towards grassroots peering at the edge. M4IoT@Middleware (2021)
Benjamin Karg, Sergio Lucia
Approximate moving horizon estimation and robust nonlinear model predictive control via deep learning. Comput. Chem. Eng. 148 (2021)
Yiming Wan, Dongying E. Shen, Sergio Lucia, Rolf Findeisen, Richard D. Braatz
Static Output-Feedback Control with Bounded Truncation Error. CoRR (2021)
Jiawen Xu, Matthias Kovatsch, Sergio Lucia
Open Set Recognition for Machinery Fault Diagnosis. INDIN (2021)
Yiming Wan, Dongying E. Shen, Sergio Lucia, Rolf Findeisen, Richard D. Braatz
Polynomial chaos-based H2 output-feedback control of systems with probabilistic parametric uncertainties. Autom. 131 (2021)
Felix Fiedler, Sergio Lucia
On the relationship between data-enabled predictive control and subspace predictive control. ECC (2021)
Felix Fiedler, Christoph Döpmann, Florian Tschorsch, Sergio Lucia
PredicTor: Predictive Congestion Control for the Tor Network. CCTA (2020)
Sarah Braun, Sebastian Albrecht, Sergio Lucia
Identifying Attacks on Nonlinear Cyber-Physical Systems in a Robust Model Predictive Control Setup. ECC (2020)
Sarah Braun, Sebastian Albrecht, Sergio Lucia
A Hierarchical Attack Identification Method for Nonlinear Systems. CDC (2020)
Benjamin Karg, Sergio Lucia
Stability and feasibility of neural network-based controllers via output range analysis. CoRR (2020)
Sarah Braun, Sebastian Albrecht, Sergio Lucia
A Hierarchical Attack Identification Method for Nonlinear Systems. CoRR (2020)
Sankaranarayanan Subramanian, Sergio Lucia, Radoslav Paulen, Sebastian Engell
Tube-enhanced Multi-stage MPC for Flexible Robust Control of Constrained Linear Systems with Additive and Parametric Uncertainties. CoRR (2020)
Martina Mammarella, Teodoro Alamo, Sergio Lucia, Fabrizio Dabbene
A probabilistic validation approach for penalty function design in Stochastic Model Predictive Control. CoRR (2020)
Benjamin Karg, Sergio Lucia
Stability and feasibility of neural network-based controllers via output range analysis. CDC (2020)
Anko Börner, Heinz-Wilhelm Hübers, Odej Kao, Florian Schmidt, Sören Becker, Joachim Denzler, Daniel Matolin, David Haber, Sergio Lucia, Wojciech Samek, Rudolph Triebel, Sascha Eichstädt, Felix Bießmann, Anna M. Kruspe, Peter Jung, Manon Kok, Guillermo Gallego, Ralf Berger
Sensor Artificial Intelligence and its Application to Space Systems - A White Paper. CoRR (2020)
Felix Fiedler, Dirk Baumbach, Anko Börner, Sergio Lucia
A Probabilistic Moving Horizon Estimation Framework Applied to the Visual-Inertial Sensor Fusion Problem. ECC (2020)
Karsten Eckhoff, Manon Kok, Sergio Lucia, Thomas Seel
Sparse Magnetometer-free Inertial Motion Tracking - A Condition for Observability in Double Hinge Joint Systems. CoRR (2020)
Felix Fiedler, Christoph Döpmann, Florian Tschorsch, Sergio Lucia
PredicTor: Predictive Congestion Control for the Tor Network. CoRR (2020)
Felix Fiedler, Sergio Lucia
A new perspective on data-enabled predictive control. CoRR (2020)
Mohammad Hossein Ghasemi, Oscar Lucía, Sergio Lucia
Computing in the Blink of an Eye: Current Possibilities for Edge Computing and Hardware-Agnostic Programming. IEEE Access 8 (2020)
Benjamin Karg, Sergio Lucia
Efficient Representation and Approximation of Model Predictive Control Laws via Deep Learning. IEEE Trans. Cybern. 50 (9) (2020)
Sergio Lucia, Sankaranarayanan Subramanian, Daniel Limón, Sebastian Engell
Stability properties of multi-stage nonlinear model predictive control. Syst. Control. Lett. 143 (2020)
Tim Sonnekalb, Sergio Lucia
Smart Hot Water Control with Learned Human Behavior for Minimal Energy Consumption. WF-IoT (2019)
Sergio Lucia, Héctor Sarnago, Denis Navarro, Óscar Lucía
Improved Multi-Load Resonant Power Conversion Using Model Predictive Control. IECON (2019)
Benjamin Karg, Teodoro Alamo, Sergio Lucia
Probabilistic performance validation of deep learning-based robust NMPC controllers. CoRR (2019)
Henning Lindhorst, Sergio Lucia, Rolf Findeisen, Steffen Waldherr
Modeling Enzyme Controlled Metabolic Networks in Rapidly Changing Environments by Robust Optimization. IEEE Control. Syst. Lett. 3 (2) (2019)
Benjamin Karg, Sergio Lucia
Learning-based approximation of robust nonlinear predictive control with state estimation applied to a towing kite. ECC (2019)
Oscar Lucía, Denis Navarro, Pablo Guillén, Héctor Sarnago, Sergio Lucia
Deep Learning-Based Magnetic Coupling Detection for Advanced Induction Heating Appliances. IEEE Access 7 (2019)
Sergio Lucia, Denis Navarro, Oscar Lucía, Pablo Zometa, Rolf Findeisen
Optimized FPGA Implementation of Model Predictive Control for Embedded Systems Using High-Level Synthesis Tool. IEEE Trans. Ind. Informatics 14 (1) (2018)
Benjamin Karg, Sergio Lucia
Towards low-energy, low-cost and high-performance IoT-based operation of interconnected systems. WF-IoT (2018)
Yiming Wan, Dongying E. Shen, Sergio Lucia, Rolf Findeisen, Richard D. Braatz
Output-Feedback Control Using Polynomial Chaos. ACC (2018)
Benjamin Karg, Sergio Lucia
Deep learning-based embedded mixed-integer model predictive control. ECC (2018)
Sergio Lucia, Denis Navarro, Hector Sarnago, Oscar Lucía
Model Predictive Control for Resonant Power Converters Applied to Induction Heating. ISIE (2018)
Sergio Lucia, Marcello Torchio, Davide Martino Raimondo, Reinhardt Klein, Richard D. Braatz, Rolf Findeisen
Towards adaptive health-aware charging of Li-ion batteries: A real-time predictive control approach using first-principles models. ACC (2017)
Sergio Lucia, Joel A. Paulson, Rolf Findeisen, Richard D. Braatz
On stability of stochastic linear systems via polynomial chaos expansions. ACC (2017)
Sankaranarayanan Subramanian, Sergio Lucia, Sebastian Engell
A novel tube-based output feedback MPC for constrained linear systems. ACC (2017)
Tobias Bäthge, Sergio Lucia, Rolf Findeisen
Exploiting models of different granularity in robust predictive control. CDC (2016)
Sankaranarayanan Subramanian, Sergio Lucia, Sebastian Engell
A non-conservative robust output feedback MPC for constrained linear systems. CDC (2016)
Pablo Zometa, Hannes Heinemann, Sergio Lucia, Markus J. Kögel, Rolf Findeisen
Efficient stochastic model predictive control for embedded systems based on second-order cone programs. ECC (2016)
Sergio Lucia, Markus J. Kögel, Pablo Zometa, Daniel E. Quevedo, Rolf Findeisen
Predictive control, embedded cyberphysical systems and systems of systems - A perspective. Annu. Rev. Control. 41 (2016)
Sankaranarayanan Subramanian, Sergio Lucia, Sebastian Engell
Handling structural plant-model mismatch via multi-stage nonlinear model predictive control. ECC (2015)
Sakthi Thangavel, Sergio Lucia, Radoslav Paulen, Sebastian Engell
Towards dual robust nonlinear model predictive control: A multi-stage approach. ACC (2015)
Rubén Martí Martínez, Sergio Lucia, Daniel Sarabia, Radoslav Paulen, Sebastian Engell, César de Prada
An efficient distributed algorithm for multi-stage robust nonlinear predictive control. ECC (2015)
Rubén Martí Martínez, Sergio Lucia, Daniel Sarabia, Radoslav Paulen, Sebastian Engell, César de Prada
Improving scenario decomposition algorithms for robust nonlinear model predictive control. Comput. Chem. Eng. 79 (2015)
Sergio Lucia, Pablo Zometa, Markus J. Kögel, Rolf Findeisen
Efficient stochastic model predictive control based on polynomial chaos expansions for embedded applications. CDC (2015)
Sergio Lucia, Alexandru Tatulea-Codrean, Christian Schoppmeyer, Sebastian Engell
An environment for the efficient testing and implementation of robust NMPC. CCA (2014)
Sankaranarayanan Subramanian, Sergio Lucia, Sebastian Engell
Economic multi-stage output nonlinear model predictive control. CCA (2014)
Sergio Lucia, Radoslav Paulen, Sebastian Engell
Multi-stage Nonlinear Model Predictive Control with verified robust constraint satisfaction. CDC (2014)
Sergio Lucia, Sebastian Engell
Robust nonlinear model predictive control of a batch bioreactor using multi-stage stochastic programming. ECC (2013)
Sergio Lucia, Sankaranarayanan Subramanian, Sebastian Engell
Non-conservative robust Nonlinear Model Predictive Control via scenario decomposition. CCA (2013)