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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

Lucia, S., Navarro, D., Lucia, O., Zometa, P. and Findeisen, R. (2018). Optimized FPGA Implementation of Model Predictive Control Using High Level Synthesis Tools [2]. 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 [3]. 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 [4]. 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 [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.


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 [8]. Automatica (submitted)


Lindhorst, H., Lucia, S., Findeisen, R. and Waldherr, S. (2016). Modeling metabolic networks including gene expression and uncertainties [9]. 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 [10]. 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 [11]. Computers & Chemical Engineering, 30 - 45.


Lucia, S., Limon, D. and Engell, S. (2014). Stability Properties of Multi-Stage Robust Nonlinear Model Predictive Control [12]. 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 [13]. 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 [14]. 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 [15]. Journal of Process Control, 1306-1319.


Conference publications

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Download Bibtex entry [16]

Dissertation

You can download a copy of my Dissertation, entitled Robust Multi-stage Nonlinear Model Predictive Control, clicking here [18]

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