Lucia, S., Navarro, D., Lucia, O., Zometa, P. and Findeisen, R. (2018). Optimized FPGA Implementation of Model Predictive Control Using High Level Synthesis Tools. IEEE Transactions on Industrial Informatics, 137–145.

Thangavel, S., Lucia, S., Paulen, R. and Engell, S. (2018). Dual Robust Nonlinear Model Predictive Control: A Multi-stage Approach. Journal of Process Control, 39–51.

Lindhorst, H., Lucia, S., Findeisen, R. and Waldherr, S. (2018). Modeling Enzyme Controlled Metabolic Networks in Rapidly Changing Environments by Robust Optimization. IEEE Control Systems Letters, 248–253.

Lucia, S., Navarro, D., Karg, B., Sarnago, H. and Lucia, O. (2018). Deep Learning-based Model Predictive Controlfor Resonant Power Converters. IEEE Transactions on Industrial Informatics (submitted), 137–145.

Karg, B. and Lucia, S. (2018). Efficient representation and approximation of model predictive control laws via deep learning. arXiv preprint arXiv:1703.02702

Lucia, S., Tatulea-Codrean, A., Schoppmeyer, C. and Engell, S. (2017). Rapid Development of Modular and Sustainable Nonlinear Model Predictive Control Solutions. Control Engineering Practice, 51-62.

Subramanian, S., Lucia, S., Birjandi, S., Paulen, R. and Engell, a. S. (2017). Robust Multi-stage MPC with tube-based support for linear Systems with parametric and additive uncertainties. Automatica (submitted)

Lindhorst, H., Lucia, S., Findeisen, R. and Waldherr, S. (2016). Modeling metabolic networks including gene expression and uncertainties. arXiv:1609.08961

Lucia, S., Kögel, M., Zometa, P., Quevedo, D. E. and Findeisen, R. (2016). Predictive control, embedded cyberphysical systems and systems of systems – A perspective. Annual Reviews in Control, 193–207.

Marti, R., Lucia, S., Sarabia, D., Paulen, R., Engell, S. and de Prada, C. (2015). Improving scenario decomposition algorithms for robust nonlinear model predictive control. Computers & Chemical Engineering, 30 - 45.

Lucia, S., Limon, D. and Engell, S. (2014). Stability Properties of Multi-Stage Robust Nonlinear Model Predictive Control. Automatica (Submitted)

Lucia, S., Andersson, J., Brandt, H., Diehl, M. and Engell, S. (2014). Handling Uncertainty in Economic Nonlinear Model Predictive Control: a Comparative Case-study. Journal of Process Control, 1247-1259.

Finkler, T., Lucia, S., Dogru, M. and Engell, S. (2013). Simple Control Scheme for Batch Time Minimization of Exothermic Semibatch Polymerizations. Industrial & Engineering Chemistry Research, 5906-5920.

Lucia, S., Finkler, T. and Engell, S. (2013). Multi-stage Nonlinear Model Predictive Control Applied to a Semi-batch Polymerization Reactor under Uncertainty. Journal of Process Control, 1306-1319.

Braun, S., Albrecht, S. and Lucia, S. (2020). Hierarchical Attack Identication for Distributed Robust Nonlinear Control. Prof. of the 21th IFAC World Congress (in Press)

Karg, B. and Lucia, S. (2019). Learning-based output feedback robust nonlinear predictive control of a towing kite. Proc. of the European Control Conference (in Press)

Sonnekalb, T. and Lucia, S. (2019). Smart Hot Water Control with Learned Human Behaviour for Minimal Energy Consumption. Proc. of the 5th IEEE World Forum on Internet of Things (in Press)

Wan, Y., Shen, D. E., Lucia, S., Findeisen, R. and Braatz, R. D. (2018). Robust Static $H_infty$ Output-Feedback Control Using Polynomial Chaos. Proc. of the American Control Conference, 6804–6809.

Subramanian, S., Lucia, S. and Engell, S. (2018). A Synergistic Approach to Robust Output Feedback Control: Tube-based Multi-stage NMPC. Proc. of the International Symposium on Advanced Control of Chemical Processes, 494–499.

Thangavel, S., Subramanian, S., Lucia, S. and Engell, S. (2018). Handling Structural Plant-model Mismatch using a Model-error Model in the Multi-stage NMPC framework. Proc. of the 18th IFAC Symposium on System Identification, 1074–1079.

Lucia, S., Navarro, D., Sarnago, H. and Lucia, O. (2018). Model Predictive Control for Resonant Power Converters Applied to Induction Heating. Proc. of the 27th IEEE International Symposium on Industrial Electronics, 246–251.

Subramanian, S., Lucia, S. S. B., Paulen, R. and Engell, S. (2018). A Combined Multi-stage and Tube-based MPC Scheme for Constrained Linear Systems. Proc. of the IFAC Conference on Nonlinear Model Predictive Control, 577–582.

Lucia, S. and Karg, B. (2018). A deep learning-based approach to robust nonlinear model predictive control. Proc. of the IFAC Conference on Nonlinear Model Predictive Control, 610–615.

Thangavel, S., Abuel-nour, M., Lucia, S., Paulen, R. and Engell, S. (2018). Robust Dual Multi-stage NMPC using Guaranteed Parameter Estimation. Proc. of the IFAC Conference on Nonlinear Model Predictive Control, 74–79.

Karg, B. and Lucia, S. (2018). Towards low-energy, low-cost and high-performance IoT-based operation of interconnected systems. Proc. of the 4th IEEE World Forum on Internet of Things, 706–711.

Karg, B. and Lucia, S. (2018). Deep learning-based embedded mixed-integer model predictive control. Proc. of the European Control Conference, 2075–2080.

Thangavel, S., Paulen, R., Engell, S. and Lucia, S. (2017). Robust nonlinear model predictive control with reduction of uncertainty via dual control. Proc. of the 21st International Conference on Process Control, 48–53.

Lucia, S., Torchio, M., Raimondo, D., Klein, R., Braatz, R. and Findeisen, R. (2017). Towards adaptive health-aware charging of Li-ion batteries: a real-time predictive control approach using first-principles models. Proc. of the American Control Conference, 4717–4722.

Lucia, S., Carius, L. and Findeisen, R. (2017). Adaptive nonlinear predictive control and estimation of microaerobic processes. Proc. of the IFAC World Congress, 12635–12640.

Shen, D., Lucia, S., Findeisen, R. and Braatz, R. (2017). Polynomial chaos-based H2-optimal static output feedback control of systems with probabilistic parametric uncertainties. Proc. of the IFAC World Congress, 3536–3541.

Lucia, S., Paulson, J., Findeisen, R. and Braatz, R. (2017). On Stability of Stochastic Linear Systems via Polynomial Chaos Expansions. Proc. of the American Control Conference, 5089–5094.

Subramanian, S., Lucia, S. and Engell, S. (2017). An improved output feedback MPC for constrained linear systems. Proc. of the IFAC World Congress, 15506–15511.

Subramanian, S., Lucia, S. and Engell, S. (2017). A Novel Tube-based Output Feedback MPC for Constrained Linear Systems. Proc. of the American Control Conference, 3060–3065.

Bäthge, T., Lucia, S. and Findeisen, R. (2016). Exploiting Models of Different Granularity in Robust Predictive Control. Proc. of the 54th IEEE Conference on Decision and Control, 2763–2768.

Kallies, C., Schliemann-Bullinger, M., Findeisen, R., Lucia, S. and Bullinger, E. (2016). Monotonicity of Kinetic Proofreading. Proc. of the 6th IFAC Conference on Foundations of Systems Biology in Engineering, 306–311.

Lucia, S., Schliemann-Bullinger, M., Findeisen, R. and Bullinger, E. (2016). A Set-Based Optimal Control Approach for Pharmacokinetic / Pharmacodynamic Drug Dosage Design. Proc. of the 11th IFAC Symposium on Dynamics and Control of Process Systems Including Biosystems, 797 - 802.

Subramanian, S., Lucia, S. and Engell, S. (2016). A Non-conservative Robust Output Feedback MPC for Constrained Linear Systems. Proc. of the 54th IEEE Conference on Decision and Control, 2333-2338.

Zometa, P., Heinemann, H., Lucia, S., Kögel, M. and Findeisen, R. (2016). Efficient Stochastic Model Predictive Control for Embedded Systems Based on Second-Order Cone Programs. Proc. of the European Control Conference, 166-171.

Thangavel, S., Lucia, S., Paulen, R. and Engell, S. (2015). Towards dual robust nonlinear model predictive control: A multi-stage approach. 2015 American Control Conference (ACC), 428-433.

Lucia, S. and Engell, S. (2015). Potential and Limitations of Multi-stage Nonlinear Model Predictive Control. Proc. of the 9th IFAC Symposium on Advanced Control of Chemical Processes, 1015 - 1020.

Lucia, S., Kögel, M. and Findeisen, R. (2015). Contract-based Predictive Control of Distributed Systems with Plug and Play Capabilities. Proc. of the 5th IFAC Conference on Nonlinear Model Predictive Control, 205 - 211.

Lucia, S., Zometa, P., Kögel, M. and Findeisen, R. (2015). Efficient stochastic model predictive control based on polynomial chaos expansions for embedded applications. Proc. of the 54th IEEE Conference on Decision and Control, 3006-3012.

Lucia, S., Rumschinski, P., Krener, A. and Findeisen, R. (2015). Improved Design of Nonlinear Model Predictive Controllers. Proc. of the 5th IFAC Conference on Nonlinear Model Predictive Control, 254 - 259.

Lucia, S., Kögel, M., Zometa, P., Quevedo, D. and Findeisen, R. (2015). Predictive Control in the Era of Networked Control and Communication - a Perspective. Proc. of the 5th IFAC Conference on Nonlinear Model Predictive Control, 322 - 331.

Marti, R., Lucia, S., Sarabia, D., Paulen, R., Engell, S. and Prada, C. d. (2015). An efficient distributed algorithm for multi-stage robust nonlinear predictive control. European Control Conference, 2664-2669.

Subramanian, S., Lucia, S. and Engell, S. (2015). Economic Multi-stage Output Feedback NMPC using the Unscented Kalman Filter. Proc. of the 9th IFAC Symposium on Advanced Control of Chemical Processes, 38 - 43.

Subramanian, S., Lucia, S. and Engell, S. (2015). Handling structural plant-model mismatch via multi-stage nonlinear model predictive control. European Control Conference, 1602-1607.

Subramanian, S., Lucia, S. and Engell, S. (2015). Adaptive Multi-stage Output Feedback NMPC using the Extended Kalman Filter for time varying uncertainties applied to a CSTR. Proc. of the 5th IFAC Conference on Nonlinear Model Predictive Control, 242 - 247.

Subramanian, S., Lucia, S., S., R. P. and Engell (2015). Robust output feedback NMPC with guaranteed constraint satisfaction. Proc. of the 8th IFAC Symposium on Robust Control Design, 326 - 331.

Lucia, S., Andersson, J., Brandt, H., Bouaswaig, A., Diehl, M. and Engell, S. (2014). Efficient Robust Economic Nonlinear Model Predictive Control of an Industrial Batch Reactor. Prof. of the 19th IFAC World Congress, 11093-11098.

Lucia, S., Paulen, R. and Engell, S. (2014). Multi-stage Nonlinear Model Predictive Control with Verified Robust Constraint Satisfaction. Proc. of the 54th IEEE Conference on Decision and Control, 2816-2821.

Lucia, S. and Engell, S. (2014). Control of Towing Kites under Uncertainty using Robust Economic Nonlinear Model Predictive Control. Proc. of the 13th European Control Conference, 1158-1163.

Lucia, S., Tatulea-Codrean, A., Schoppmeyer, C. and Engell, S. (2014). An Environment for the Efficient Testing and Implementation of Robust NMPC. Proc. of the 2014 IEEE Multi-Conference on Systems and Control, 1843-1848.

Lucia, S. and Paulen, R. (2014). Robust Nonlinear Model Predictive Control with Reduction of Uncertainty via Robust Optimal Experiment Design. Proc. of the 19th IFAC World Congress, 1904-1909.

Subramanian, S., Lucia, S. and Engell, S. (2014). Economic Multi-stage Output Nonlinear Model Predictive Control. Proc. of the 2014 IEEE Multi-Conference on Systems and Control, 1837-1842.

Lucia, S. and Engell, S. (2013). Robust Nonlinear Model Predictive Control of a Batch Bioreactor Using Multi-stage Stochastic Programming. Proc. of the 12th European Control Conference, Zurich, 4124-4129.

Lucia, S., Subramanian, S. and Engell, S. (2013). Non-conservative Robust Nonlinear Model Predictive Control via Scenario Decomposition. Proc. of the 2013 IEEE Multi-Conference on Systems and Control, 586-591.

Lucia, S., Finkler, T., Basak, D. and Engell, S. (2012). A new Robust NMPC Scheme and its Application to a Semi-batch Reactor Example. Proc. of the International Symposium on Advanced Control of Chemical Processes, 69-74.

Lucia, S. and Engell, S. (2012). Multi-stage and Two-stage Robust Nonlinear Model Predictive Control. Proc. of the IFAC Conference on Nonlinear Model Predictive Control, 181-186.