Sergio Lucia

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Medforfattere

Rolf FindeisenProfessor for Systems Theory and Automatic Control, Otto-von-Guericke University MagdeburgBekræftet mail på ovgu.de
Radoslav PaulenSlovak University of Technology in BratislavaBekræftet mail på stuba.sk
Sankaranarayanan SubramanianTU DortmundBekræftet mail på tu-dortmund.de
Benjamin KargTU Dortmund, Laboratory of Process Automation SystemsBekræftet mail på tu-dortmund.de
Óscar LucíaAssociate Professor, University of ZaragozaBekræftet mail på unizar.es
Denis NavarrozaragozaBekræftet mail på unizar.es
Markus KögelInstitute for Automation Engineering, Otto-von-Guericke University Magdeburg, GermanyBekræftet mail på ovgu.de
Sakthi ThangavelTechnische Universität DortmundBekræftet mail på tu-dortmund.de
Moritz DiehlProfessor of Systems, Control and Optimization at the University of FreiburgBekræftet mail på imtek.uni-freiburg.de
Joel A. E. AnderssonUniversity of Wisconsin - MadisonBekræftet mail på wisc.edu
Richard D. BraatzEdwin R. Gilliland Professor, Massachusetts Institute of TechnologyBekræftet mail på mit.edu
Daniel E. QuevedoQueensland University of TechnologyBekræftet mail på qut.edu.au
Daniel SarabiaUniversidad de Burgos (Área de Ingeniería de Sistemas y Automática)Bekræftet mail på ubu.es
Yiming WanHuazhong University of Science and TechnologyBekræftet mail på hust.edu.cn
Felix FiedlerTU BerlinBekræftet mail på tu-berlin.de
Eric BullingerOtto-von-Guericke-Universität Magdeburg, GermanyBekræftet mail på ovgu.de
Manon KokAssistant Professor at the Delft Center for Systems and ControlBekræftet mail på tudelft.nl
Davide Martino RaimondoAssociate Professor, University of PaviaBekræftet mail på unipv.it
Reinhardt KleinRobert Bosch LLC, Research and Technology Center, Palo Alto, CaliforniaBekræftet mail på us.bosch.com
Steffen WaldherrKU Leuven Department of Chemical EngineeringBekræftet mail på kuleuven.be

Sergio Lucia

Professor, Laboratory of Process Automation Systems, TU Dortmund

Bekræftet mail på tu-dortmund.de

Decision-making under uncertainty Optimization Process Control Control Systems Deep Learning


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
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	216	2013
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	132	2014
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	56	2018
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	56	2012
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	43	2016
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	38	2020
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	35	2015
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	34	2015
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	33	2017
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	31	2014
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	26	2013
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	23	2018
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	23	2014
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	21	2018
Robust Multi-stage Nonlinear Model Predictive Control S Lucia TU Dortmund, 2014	20	2014
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	20	2014
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	17	2015
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	16	2014
Efficient stochastic model predictive control based on polynomial chaos expansions for embedded applications S Lucia, P Zometa, M Kögel, R Findeisen 2015 54th IEEE Conference on Decision and Control (CDC), 3006-3012, 2015	15	2015
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	15	2013

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