direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Inhalt des Dokuments

Publications

You can find below a list of my publications.

You can also visit my google scholar profile [link] [1]

Journal publications

Lindhorst, H., Lucia, S., Findeisen, R. and Waldherr, S. (2019). Modeling Enzyme Controlled Metabolic Networks in Rapidly Changing Environments by Robust Optimization [2]. IEEE Control Systems Letters, 248–253.


Lucia, S., Navarro, D., Lucia, O., Zometa, P. and Findeisen, R. (2018). Optimized FPGA Implementation of Model Predictive Control Using High Level Synthesis Tools [3]. 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 [4]. Journal of Process Control, 39–51.


Lucia, S., Navarro, D., Karg, B., Sarnago, H. and Lucia, O. (2018). Deep Learning-based Model Predictive Controlfor Resonant Power Converters [5]. 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 [6]. 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 [7]. Control Engineering Practice, 51-62.


Lucia, S., Kögel, M., Zometa, P., Quevedo, D. E. and Findeisen, R. (2016). Predictive control, embedded cyberphysical systems and systems of systems – A perspective [8]. 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 [9]. Computers & Chemical Engineering, 30 - 45.


Lucia, S., Andersson, J., Brandt, H., Diehl, M. and Engell, S. (2014). Handling Uncertainty in Economic Nonlinear Model Predictive Control: a Comparative Case-study [10]. 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 [11]. 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 [12]. Journal of Process Control, 1306-1319.


Conference publications

Karg, B. and Lucia, S. (2019). Learning-based output feedback robust nonlinear predictive control of a towing kite [13]. 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 [14]. 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 [15]. 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 [16]. 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 [17]. 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 [18]. 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 [19]. 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 [20]. 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 [21]. 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 [22]. 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 [23]. 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 [24]. 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 [25]. 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 [26]. 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 [27]. 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 [28]. 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 [29]. 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 [30]. 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 [31]. 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 [32]. 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 [33]. 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 [34]. 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 [35]. 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 [36]. 2015 American Control Conference (ACC), 428-433.


Lucia, S. and Engell, S. (2015). Potential and Limitations of Multi-stage Nonlinear Model Predictive Control [37]. 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 [38]. 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 [39]. 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 [40]. 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 [41]. 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 [42]. European Control Conference, 2664-2669.


Subramanian, S., Lucia, S. and Engell, S. (2015). Economic Multi-stage Output Feedback NMPC using the Unscented Kalman Filter [43]. 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 [44]. 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 [45]. 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 [46]. 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 [47]. 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 [48]. 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 [49]. 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 [50]. 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 [51]. 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 [52]. 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 [53]. 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 [54]. 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 [55]. 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 [56]. Proc. of the IFAC Conference on Nonlinear Model Predictive Control, 181-186.


Dissertation

You can download a copy of my Dissertation, entitled Robust Multi-stage Nonlinear Model Predictive Control, clicking here [57]

We are part of:

[58]
------ Links: ------

Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

Auxiliary Functions

This site uses Matomo for anonymized webanalysis. Visit Data Privacy for more information and opt-out options.
Copyright TU Berlin 2008