Non-conservative robust Nonlinear Model Predictive Control via scenario decomposition. - Sergio Lucia; Sankaranarayanan Subramanian; Sebastian Engell (CCA, 2013)

Robust nonlinear model predictive control of a batch bioreactor using multi-stage stochastic programming. - Sergio Lucia; Sebastian Engell (ECC, 2013)

An environment for the efficient testing and implementation of robust NMPC. - Sergio Lucia; Alexandru Tatulea-Codrean; Christian Schoppmeyer; Sebastian Engell (CCA, 2014)

Economic multi-stage output nonlinear model predictive control. - Sankaranarayanan Subramanian; Sergio Lucia; Sebastian Engell (CCA, 2014)

Multi-stage Nonlinear Model Predictive Control with verified robust constraint satisfaction. - Sergio Lucia; Radoslav Paulen; Sebastian Engell (CDC, 2014)

Towards dual robust nonlinear model predictive control: A multi-stage approach. - Sakthi Thangavel; Sergio Lucia; Radoslav Paulen; Sebastian Engell (ACC, 2015)

Efficient stochastic model predictive control based on polynomial chaos expansions for embedded applications. - Sergio Lucia; Pablo Zometa; Markus J. Kögel; Rolf Findeisen (CDC, 2015)

An efficient distributed algorithm for multi-stage robust nonlinear predictive control. - Rubén Martí Martínez; Sergio Lucia; Daniel Sarabia; Radoslav Paulen; Sebastian Engell; César de Prada (ECC, 2015)

Handling structural plant-model mismatch via multi-stage nonlinear model predictive control. - Sankaranarayanan Subramanian; Sergio Lucia; Sebastian Engell (ECC, 2015)

Improving scenario decomposition algorithms for robust nonlinear model predictive control. - Rubén Martí Martínez; Sergio Lucia; Daniel Sarabia; Radoslav Paulen; Sebastian Engell; César de Prada (Comput. Chem. Eng., 2015)

Exploiting models of different granularity in robust predictive control. - Tobias Bäthge; Sergio Lucia; Rolf Findeisen (CDC, 2016)

A non-conservative robust output feedback MPC for constrained linear systems. - Sankaranarayanan Subramanian; Sergio Lucia; Sebastian Engell (CDC, 2016)

Efficient stochastic model predictive control for embedded systems based on second-order cone programs. - Pablo Zometa; Hannes Heinemann; Sergio Lucia; Markus J. Kögel; Rolf Findeisen (ECC, 2016)

Predictive control, embedded cyberphysical systems and systems of systems - A perspective. - Sergio Lucia; Markus J. Kögel; Pablo Zometa; Daniel E. Quevedo; Rolf Findeisen (Annu. Rev. Control., 2016)

On stability of stochastic linear systems via polynomial chaos expansions. - Sergio Lucia; Joel A. Paulson; Rolf Findeisen; Richard D. Braatz (ACC, 2017)

Towards adaptive health-aware charging of Li-ion batteries: A real-time predictive control approach using first-principles models. - Sergio Lucia; Marcello Torchio; Davide Martino Raimondo; Reinhardt Klein; Richard D. Braatz; Rolf Findeisen (ACC, 2017)

A novel tube-based output feedback MPC for constrained linear systems. - Sankaranarayanan Subramanian; Sergio Lucia; Sebastian Engell (ACC, 2017)

Robust Static H∞ Output-Feedback Control Using Polynomial Chaos. - Yiming Wan; Dongying E. Shen; Sergio Lucia; Rolf Findeisen; Richard D. Braatz (ACC, 2018)

Deep learning-based embedded mixed-integer model predictive control. - Benjamin Karg; Sergio Lucia (ECC, 2018)

Model Predictive Control for Resonant Power Converters Applied to Induction Heating. - Sergio Lucia; Denis Navarro; Hector Sarnago; Oscar Lucía (ISIE, 2018)

Towards low-energy, low-cost and high-performance IoT-based operation of interconnected systems. - Benjamin Karg; Sergio Lucia (WF-IoT, 2018)

Optimized FPGA Implementation of Model Predictive Control for Embedded Systems Using High-Level Synthesis Tool. - Sergio Lucia; Denis Navarro; Oscar Lucía; Pablo Zometa; Rolf Findeisen (IEEE Trans. Ind. Informatics, 2018)

Learning-based approximation of robust nonlinear predictive control with state estimation applied to a towing kite. - Benjamin Karg; Sergio Lucia (ECC, 2019)

Improved Multi-Load Resonant Power Conversion Using Model Predictive Control. - Sergio Lucia; Héctor Sarnago; Denis Navarro; Óscar Lucía (IECON, 2019)

Smart Hot Water Control with Learned Human Behavior for Minimal Energy Consumption. - Tim Sonnekalb; Sergio Lucia (WF-IoT, 2019)

Deep Learning-Based Magnetic Coupling Detection for Advanced Induction Heating Appliances. - Oscar Lucía; Denis Navarro; Pablo Guillén; Héctor Sarnago; Sergio Lucia (IEEE Access, 2019)

Probabilistic performance validation of deep learning-based robust NMPC controllers. - Benjamin Karg; Teodoro Alamo; Sergio Lucia (CoRR, 2019)

Modeling Enzyme Controlled Metabolic Networks in Rapidly Changing Environments by Robust Optimization. - Henning Lindhorst; Sergio Lucia; Rolf Findeisen; Steffen Waldherr (IEEE Control. Syst. Lett., 2019)

PredicTor: Predictive Congestion Control for the Tor Network. - Felix Fiedler; Christoph Döpmann; Florian Tschorsch; Sergio Lucia (CCTA, 2020)

A Hierarchical Attack Identification Method for Nonlinear Systems. - Sarah Braun; Sebastian Albrecht 001; Sergio Lucia (CDC, 2020)

Stability and feasibility of neural network-based controllers via output range analysis. - Benjamin Karg; Sergio Lucia (CDC, 2020)

Identifying Attacks on Nonlinear Cyber-Physical Systems in a Robust Model Predictive Control Setup. - Sarah Braun; Sebastian Albrecht 001; Sergio Lucia (ECC, 2020)

A Probabilistic Moving Horizon Estimation Framework Applied to the Visual-Inertial Sensor Fusion Problem. - Felix Fiedler; Dirk Baumbach; Anko Börner; Sergio Lucia (ECC, 2020)

Computing in the Blink of an Eye: Current Possibilities for Edge Computing and Hardware-Agnostic Programming. - Mohammad Hossein Ghasemi; Oscar Lucía; Sergio Lucia (IEEE Access, 2020)

Sparse Magnetometer-free Inertial Motion Tracking - A Condition for Observability in Double Hinge Joint Systems. - Karsten Eckhoff; Manon Kok; Sergio Lucia; Thomas Seel (CoRR, 2020)

A probabilistic validation approach for penalty function design in Stochastic Model Predictive Control. - Martina Mammarella; Teodoro Alamo; Sergio Lucia; Fabrizio Dabbene (CoRR, 2020)

Sensor Artificial Intelligence and its Application to Space Systems - A White Paper. - Anko Börner; Heinz-Wilhelm Hübers; Odej Kao; Florian Schmidt 006; Soeren Becker 001; Joachim Denzler; Daniel Matolin; David Haber; Sergio Lucia; Wojciech Samek; Rudolph Triebel; Sascha Eichstädt; et al. (CoRR, 2020)

A new perspective on data-enabled predictive control. - Felix Fiedler; Sergio Lucia (CoRR, 2020)

Tube-enhanced Multi-stage MPC for Flexible Robust Control of Constrained Linear Systems with Additive and Parametric Uncertainties. - Sankaranarayanan Subramanian; Sergio Lucia; Radoslav Paulen; Sebastian Engell (CoRR, 2020)

Stability properties of multi-stage nonlinear model predictive control. - Sergio Lucia; Sankaranarayanan Subramanian; Daniel Limón; Sebastian Engell (Syst. Control. Lett., 2020)

Efficient Representation and Approximation of Model Predictive Control Laws via Deep Learning. - Benjamin Karg; Sergio Lucia (IEEE Trans. Cybern., 2020)

On the relationship between data-enabled predictive control and subspace predictive control. - Felix Fiedler; Sergio Lucia (ECC, 2021)

Open Set Recognition for Machinery Fault Diagnosis. - Jiawen Xu 001; Matthias Kovatsch; Sergio Lucia (INDIN, 2021)

Towards grassroots peering at the edge. - David Bermbach; Sergio Lucia; Vlado Handziski; Adam Wolisz (M4IoT@Middleware, 2021)

Polynomial chaos-based H2 output-feedback control of systems with probabilistic parametric uncertainties. - Yiming Wan; Dongying E. Shen; Sergio Lucia; Rolf Findeisen; Richard D. Braatz (Autom., 2021)

Approximate moving horizon estimation and robust nonlinear model predictive control via deep learning. - Benjamin Karg; Sergio Lucia (Comput. Chem. Eng., 2021)

A Polynomial Chaos Approach to Robust H∞ Static Output-Feedback Control with Bounded Truncation Error. - Yiming Wan; Dongying E. Shen; Sergio Lucia; Rolf Findeisen; Richard D. Braatz (CoRR, 2021)

Teaching MPC: Which Way to the Promised Land? - Timm Faulwasser; Sergio Lucia; Moritz Schulze Darup; Martin Mönnigmann (CoRR, 2021)

Deep Learning-Based Model Predictive Control for Resonant Power Converters. - Sergio Lucia; Denis Navarro; Benjamin Karg; Hector Sarnago; Óscar Lucía (IEEE Trans. Ind. Informatics, 2021)

Fusion of Machine Learning and MPC under Uncertainty: What Advances Are on the Horizon? - Ali Mesbah 002; Kim Peter Wabersich; Angela P. Schoellig; Melanie N. Zeilinger; Sergio Lucia; Thomas A. Badgwell; Joel A. Paulson (ACC, 2022)

Robust MPC approaches for monotone systems*. - Moritz Heinlein; Sankaranarayanan Subramanian; Marco Molnar; Sergio Lucia (CDC, 2022)

Guaranteed safe control of systems with parametric uncertainties via neural network controllers. - Benjamin Karg; Sergio Lucia (CDC, 2022)

Model predictive control with neural network system model and Bayesian last layer trust regions. - Felix Fiedler; Sergio Lucia (ICCA, 2022)

Resilient Control of Interconnected Microgrids Under Attack by Robust Nonlinear MPC. - Sarah Braun; Sebastian Albrecht 001; Sergio Lucia (ICINCO, 2022)

Explainable artificial intelligence for deep learning-based model predictive controllers. - Christian Utama; Benjamin Karg; Christian Meske; Sergio Lucia (ICSTCC, 2022)

Deep Learning Implementation of Model Predictive Control for Multioutput Resonant Converters. - Pablo Guillén; Felix Fiedler; Héctor Sarnago; Sergio Lucia; Oscar Lucía (IEEE Access, 2022)

Adaptively robust nonlinear model predictive control based on attack identification. - Sarah Braun; Sebastian Albrecht 001; Sergio Lucia (Autom., 2022)

Special issue in honor of Sebastian Engell. - Radoslav Paulen; Sergio Lucia; Guido Sand (Comput. Chem. Eng., 2022)

Model predictive control and moving horizon estimation for adaptive optimal bolus feeding in high-throughput cultivation of E. coli. - Jong Woo Kim; Niels Krausch; Judit Aizpuru; Tilman Barz; Sergio Lucia; Peter Neubauer; Mariano Nicolás Cruz Bournazou (CoRR, 2022)

On the Practical Design of Tube-Enhanced Multi-Stage Nonlinear Model Predictive Control. - Sankaranarayanan Subramanian; Yehia Abdelsalam; Sergio Lucia; Sebastian Engell (CoRR, 2022)

Robust Tube-Enhanced Multi-Stage NMPC With Stability Guarantees. - Sankaranarayanan Subramanian; Yehia Abdelsalam; Sergio Lucia; Sebastian Engell (IEEE Control. Syst. Lett., 2022)

Towards Optimization-Based Predictive Congestion Control for the Tor Network. - Christoph Döpmann; Felix Fiedler; Sergio Lucia; Florian Tschorsch (Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2022)

Attack Identification for Nonlinear Systems Based on Sparse Optimization. - Sarah Braun; Sebastian Albrecht 001; Sergio Lucia (IEEE Trans. Autom. Control., 2022)

Optimization-Based Predictive Congestion Control for the Tor Network: Opportunities and Challenges. - Christoph Döpmann; Felix Fiedler; Sergio Lucia; Florian Tschorsch (ACM Trans. Internet Techn., 2022)

Approximate Model Predictive Control Based on Neural Networks in a Cloud-Based Environment. - Joshua Adamek; Sergio Lucia (CoDIT, 2023)

Probabilistic Multi-Step Identification With Implicit State Estimation for Stochastic MPC. - Felix Fiedler; Sergio Lucia (IEEE Access, 2023)

Improved Uncertainty Quantification for Neural Networks With Bayesian Last Layer. - Felix Fiedler; Sergio Lucia (IEEE Access, 2023)

A Polynomial Chaos Approach to Robust Static Output-Feedback Control With Bounded Truncation Error. - Yiming Wan; Dongying E. Shen; Sergio Lucia; Rolf Findeisen; Richard D. Braatz (IEEE Trans. Autom. Control., 2023)

Model Predictive Control of water resources systems: A review and research agenda. - Andrea Castelletti; Andrea Ficchì; Andrea Cominola; Pablo Segovia; Matteo Giuliani; Wenyan Wu 001; Sergio Lucia; Carlos Ocampo-Martinez; Bart De Schutter; José María Maestre 001 (Annu. Rev. Control., 2023)

Model predictive control and moving horizon estimation for adaptive optimal bolus feeding in high-throughput cultivation of E. coli. - Jong Woo Kim; Niels Krausch; Judit Aizpuru; Tilman Barz; Sergio Lucia; Peter Neubauer; Mariano Nicolás Cruz Bournazou (Comput. Chem. Eng., 2023)

Safe and efficient multi-system neural controllers via reinforcement learning-based scheduling. - Joshua Adamek; Sergio Lucia (CoDIT, 2024)

Reinforced Model Predictive Control via Trust-Region Quasi-Newton Policy Optimization. - Dean Brandner; Sergio Lucia (ECC, 2024)

Learning Iterative Solvers for Accurate and Fast Nonlinear Model Predictive Control via Unsupervised Training. - Lukas Lüken; Sergio Lucia (ECC, 2024)

Recursive Least Squares-Based Identification for Multi-Step Koopman Operators. - Omar Sayed; Sergio Lucia (ECC, 2024)

A Novel Koopman Representation for Efficient Linear Model Predictive Control of Nonlinear Systems. - Omar Sayed; Sergio Lucia (ECC, 2024)

Robust model predictive control exploiting monotonicity properties. - Moritz Heinlein; Sankaranarayanan Subramanian; Sergio Lucia (CoRR, 2024)

Self-Supervised Learning of Iterative Solvers for Constrained Optimization. - Lukas Lüken; Sergio Lucia (CoRR, 2024)

Deterministic Safety Guarantees for Learning-Based Control of Monotone Nonlinear Systems Under Uncertainty. - Joshua Adamek; Moritz Heinlein; Lukas Lüken; Sergio Lucia (IEEE Control. Syst. Lett., 2024)

Fourth-Order Suboptimality of Nominal Model Predictive Control in the Presence of Uncertainty. - Florian Messerer; Katrin Baumgärtner; Sergio Lucia; Moritz Diehl (IEEE Control. Syst. Lett., 2024)

Resilient Model Predictive Control of Distributed Systems Under Attack Using Local Attack Identification. - Sarah Braun; Sebastian Albrecht 001; Sergio Lucia (SN Comput. Sci., 2024)

Strategic network design for the chemical recycling of polyurethane rigid foam waste in Germany. - Dalga Merve Özkan; Sergio Lucia; Sebastian Engell (Comput. Chem. Eng., 2025)

Multi-stage model predictive control for slug flow crystallizers using uncertainty-aware surrogate models. - Collin R. Johnson; Stijn de Vries; Kerstin Wohlgemuth; Sergio Lucia (CoRR, 2025)

Multi-Event Triggers for Serverless Computing. - Valentin Carl; Trever Schirmer; Joshua Adamek; Tobias Pfandzelter; Sergio Lucia; David Bermbach (CoRR, 2025)

A tutorial overview of model predictive control for continuous crystallization: current possibilities and future perspectives. - Collin R. Johnson; Kerstin Wohlgemuth; Sergio Lucia (CoRR, 2025)

Computationally efficient Gauss-Newton reinforcement learning for model predictive control. - Dean Brandner; Sebastien Gros; Sergio Lucia (CoRR, 2025)