Sliding mode and adaptive sliding‐mode control of a class of nonlinear bioprocesses D Selişteanu, E Petre, VB Răsvan International Journal of Adaptive Control and Signal Processing 21 (8‐9 …, 2007 | 99 | 2007 |
Adaptive and robust-adaptive control strategies for anaerobic wastewater treatment bioprocesses E Petre, D Selişteanu, D Şendrescu Chemical engineering journal 217, 363-378, 2013 | 88 | 2013 |
Nonlinear optimal control of oxygen and carbon dioxide levels in blood G Rigatos, P Siano, D Selisteanu, RE Precup Intelligent Industrial Systems 3, 61-75, 2017 | 86 | 2017 |
A multivariable robust-adaptive control strategy for a recycled wastewater treatment bioprocess E Petre, D Selişteanu Chemical Engineering Science 90, 40-50, 2013 | 37 | 2013 |
Mammalian cell culture process for monoclonal antibody production: nonlinear modelling and parameter estimation D Selişteanu, D Șendrescu, V Georgeanu, M Roman BioMed research international 2015 (1), 598721, 2015 | 35 | 2015 |
Neural networks-based adaptive control for a class of nonlinear bioprocesses E Petre, D Selişteanu, D Şendrescu, C Ionete Neural Computing and Applications 19, 169-178, 2010 | 34 | 2010 |
Improvement of PMSM sensorless control based on synergetic and sliding mode controllers using a reinforcement learning deep deterministic policy gradient agent M Nicola, CI Nicola, D Selișteanu Energies 15 (6), 2208, 2022 | 31 | 2022 |
Adaptive control strategies for a class of anaerobic depollution bioprocesses E Petre, D Selisteanu, D Sendrescu 2008 IEEE International Conference on Automation, Quality and Testing …, 2008 | 28 | 2008 |
Advanced nonlinear control strategies for a fermentation bioreactor used for ethanol production E Petre, D Selişteanu, M Roman Bioresource Technology 328, 124836, 2021 | 27 | 2021 |
Malignant bone tumors diagnosis using magnetic resonance imaging based on deep learning algorithms VA Georgeanu, M Mămuleanu, S Ghiea, D Selișteanu Medicina 58 (5), 636, 2022 | 25 | 2022 |
Estimation of kinetic rates in a baker's yeast fed-batch bioprocess by using non-linear observers D Selişteanu, E Petre, M Roman, D Şendrescu IET Control Theory & Applications 6 (2), 243-253, 2012 | 23 | 2012 |
Modelling of biomass combustion process M Roman, E Bobasu, D Selisteanu Energy procedia 6, 432-440, 2011 | 20 | 2011 |
Nonlinear robust adaptive control strategies for a lactic fermentation process E Petre, D Selişteanu, M Roman Journal of Chemical Technology & Biotechnology 93 (2), 518-526, 2018 | 19 | 2018 |
Pseudo Bond Graph modelling of some prototype bioprocesses M Roman, E Bobasu, E Petre, D Selisteanu, D Sendrescu Journal of Control Engineering and Applied Informatics 11 (2), 22-29, 2009 | 19 | 2009 |
Pseudo Bond Graph modelling and on-line estimation of unknown kinetics for a wastewater biodegradation process D Selişteanu, M Roman, D Şendrescu Simulation Modelling Practice and Theory 18 (9), 1297-1313, 2010 | 17 | 2010 |
Fuzzy logic controller for a shape memory alloy tentacle robotic structure N Bizdoaca, H Hamdan, D Selisteanu 2006 2nd International Conference on Information & Communication …, 2006 | 16 | 2006 |
Adaptive control strategies for a class of recycled depollution bioprocesses E Petre, C Marin, D Selisteanu Journal of Control Engineering and Applied Informatics 7 (2), 25-33, 2005 | 16 | 2005 |
An interactive teaching system for bond graph modeling and simulation in bioengineering M Roman, D Popescu, D Selişteanu Journal of Educational Technology & Society 16 (4), 17-31, 2013 | 15 | 2013 |
Sensorless control of PMSM based on backstepping-PSO-type controller and ESO-type observer using real-time hardware CI Nicola, M Nicola, D Selișteanu Electronics 10 (17), 2080, 2021 | 14 | 2021 |
Control schemes for a complex biorefinery plant for bioenergy and biobased products E Petre, D Selişteanu, M Roman Bioresource Technology 295, 122245, 2020 | 14 | 2020 |