Sergio Lucia
Sergio Lucia
Professor, Laboratory of Process Automation Systems, TU Dortmund
Verified email at tu-dortmund.de
Title
Cited by
Cited by
Year
Multi-stage nonlinear model predictive control applied to a semi-batch polymerization reactor under uncertainty
S Lucia, T Finkler, S Engell
Journal of process control 23 (9), 1306-1319, 2013
2352013
Handling uncertainty in economic nonlinear model predictive control: A comparative case study
S Lucia, JAE Andersson, H Brandt, M Diehl, S Engell
Journal of Process Control 24 (8), 1247–1259, 2014
1402014
Optimized FPGA Implementation of Model Predictive Control for Embedded Systems Using High Level Synthesis Tool
S Lucia, D Navarro, O Lucia, P Zometa, R Findeisen
IEEE Transactions on Industrial Informatics 14 (1), 137 - 145, 2018
602018
A new robust NMPC scheme and its application to a semi-batch reactor example
S Lucia, TF Finkler, D Basak, S Engell
Proceedings of the International Symposium on Advanced Control of Chemical …, 2012
602012
Predictive control, embedded cyberphysical systems and systems of systems–A perspective
S Lucia, M Kögel, P Zometa, DE Quevedo, R Findeisen
Annual Reviews in Control 41, 193-207, 2016
492016
Efficient representation and approximation of model predictive control laws via deep learning
B Karg, S Lucia
IEEE Transactions on Cybernetics 50 (9), 3866-3878, 2020
432020
Contract-based predictive control of distributed systems with plug and play capabilities
S Lucia, M Kögel, R Findeisen
IFAC-PapersOnLine 48 (23), 205-211, 2015
382015
Rapid development of modular and sustainable nonlinear model predictive control solutions
S Lucia, A Tătulea-Codrean, C Schoppmeyer, S Engell
Control Engineering Practice 60, 51-62, 2017
372017
Improving scenario decomposition algorithms for robust nonlinear model predictive control
R Marti, S Lucia, D Sarabia, R Paulen, S Engell, C de Prada
Computers & Chemical Engineering 79, 30-45, 2015
362015
Robust nonlinear model predictive control with reduction of uncertainty via robust optimal experiment design
S Lucia, R Paulen
IFAC Proceedings Volumes 47 (3), 1904-1909, 2014
312014
A deep learning-based approach to robust nonlinear model predictive control
S Lucia, B Karg
Proc. of the 6th IFAC Conference on Nonlinear Model Predictive Control, 610-615, 2018
302018
Robust Nonlinear Model Predictive Control of a Batch Bioreactor Using Multi-stage Stochastic Programming
S Lucia, S Engell
European Control Conference (ECC 2013), 4124-4129, 2013
262013
Dual robust nonlinear model predictive control: A multi-stage approach
S Thangavel, S Lucia, R Paulen, S Engell
Journal of Process Control 72, 39-51, 2018
252018
Robust Multi-stage Nonlinear Model Predictive Control
S Lucia
TU Dortmund, 2014
242014
Multi-stage Nonlinear Model Predictive Control with Verified Robust Constraint Satisfaction
S Lucia, R Paulen, S Engell
Proc. of the 53rd IEEE Conference on Decision and Control, 2816-2821, 2014
232014
Efficient robust economic nonlinear model predictive control of an industrial batch reactor
S Lucia, JAE Andersson, H Brandt, A Bouaswaig, M Diehl, S Engell
IFAC Proceedings Volumes 47 (3), 11093-11098, 2014
212014
Towards dual robust nonlinear model predictive control: A multi-stage approach
S Thangavel, S Lucia, R Paulen, S Engell
2015 American Control Conference (ACC), 428-433, 2015
172015
Control of towing kites under uncertainty using robust economic nonlinear model predictive control
S Lucia, S Engell
2014 European Control Conference (ECC), 1158-1163, 2014
172014
Multi-Stage and Two-Stage Robust Nonlinear Model Predictive Control
S Lucia, S Engell
IFAC Conference on Nonlinear Model Predictive Control 2012 4 (1), 181-186, 2012
172012
Non-conservative Robust Nonlinear Model Predictive Control via Scenario Decomposition
S Lucia, S Subramanian, S Engell
The 2013 IEEE Multi-Conference on Systems and Control (MSC 2013), 586-591, 2013
162013
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