Papers in Refereed Journals / Contributions to Books:

• R.-C. Roman, R.-E. Precup and E.-L. Hedrea, Intelligent Proportional Controller Tuned by Virtual Reference Feedback Tuning and Fictitious Reference Iterative Tuning, Procedia Computer Science (Elsevier), vol. 221, pp. 86-93, 2023 (www.sciencedirect.com).
• C.-B. Gale-Cazan, C.-A. Bojan-Dragoş, R.-E. Precup (corresponding author), R.-C. Roman, E. M. Petriu and A.-I. Szedlak-Stînean, GWO-based Modeling of an Unstable Transport System, Procedia Computer Science (Elsevier), vol. 214, pp. 195-202, 2022 (www.sciencedirect.com).
• I.-D. Borlea, R.-E. Precup (corresponding author) and A.-B. Borlea, Improvement of K-means Cluster Quality by Post Processing Resulted Clusters, Procedia Computer Science (Elsevier), vol. 199, pp. 63-70, 2022 (www.sciencedirect.com) (Best Paper Award at ITQM 2020 & 2021).
• R.-C. Roman, R.-E. Precup, E.-L. Hedrea, S. Preitl, I. A. Zamfirache, C.-A. Bojan-Dragoş and E. M. Petriu, Iterative Feedback Tuning Algorithm for Tower Crane Systems, Procedia Computer Science (Elsevier), vol. 199, pp. 157-165, 2022 (www.sciencedirect.com).
• R.-E. Precup, S. Preitl, E. M. Petriu, C.-A. Bojan-Dragoş, A.-I. Szedlak-Stînean, R.-C. Roman and E.-L. Hedrea, Model-Based Fuzzy Control Results for Networked Control Systems, Reports in Mechanical Engineering (Regional Association for Security and Crisis Management, European Centre for Operational Research), vol. 1, no. 1, pp. 10-25, 2020 (www.frontpres.rabek.org).
• R.-C. Roman, R.-E. Precup, C.-A. Bojan-Dragoş and A.-I. Szedlak-Stînean, Combined Model-Free Adaptive Control with Fuzzy Component by Virtual Reference Feedback Tuning for Tower Crane Systems, Procedia Computer Science (Elsevier), vol. 162, pp. 267-274, 2019 (www.sciencedirect.com) (Best Paper Award at ITQM 2019).
• C.-A. Bojan-Dragoş, R.-E. Precup and E.-L. Hedrea, TP-based model transformation and gain-scheduling control of electromagnetic actuated clutch systems, Journal of Engineering Sciences and Innovation (Technical Sciences Academy of Romania), vol. 4, no. 3, pp. 301-312, 2019 (jesi.astr.ro).
• R.-C. Roman, R.-E. Precup and R.-C. David, Second Order Intelligent Proportional-Integral Fuzzy Control of Twin Rotor Aerodynamic Systems, Procedia Computer Science (Elsevier), vol. 139, pp. 372-380, 2018 (www.sciencedirect.com).
• G. Rigatos, P. Siano, D. Selişteanu and R. E. Precup, Nonlinear Optimal Control of Oxygen and Carbon Dioxide Contents in Blood, Intelligent Industrial Systems (Springer-Verlag), vol. 3, no. 2, pp. 61-75, 2017 (link.springer.com).
• R.-E. Precup, C.-A. Bojan-Dragoş, E. M. Petriu, M.-B. Rădac and A.-I. Stînean, Results on Optimal Tuning of Fuzzy Models of Magnetic Levitation Systems, International Journal of Artificial Intelligence (CESER Publications), vol. 13, no. 2, pp. 57-72, 2015 (pdf, www.ceser.in).
• R.-E. Precup, T. Haidegger and L. Kovács, Stable Hybrid Fuzzy Controller-based Architecture for Robotic Telesurgery Systems, International Journal of Computational Intelligence and Pattern Recognition (Columbia International Publishing), vol. 1, no. 1, pp. 61-76, 2014 (pdf, paper.uscip.us).
• R.-E. Precup, C.-A. Dragoş, St. Preitl, E. M. Petriu and M.-B. Rădac, A simple fuzzy control design for powertrain systems with three inertias, Memoirs of the Scientific Sections of the Romanian Academy (Editura Academiei Romane, Bucharest), Tome XXXVI, pp. 97-110, 2013 (mss.academiaromana-is.ro).
• C. Purcaru, R.-E. Precup, D. Iercan, L.-O. Fedorovici, R.-C. David and F. Drăgan, Optimal Robot Path Planning Using Gravitational Search Algorithm, International Journal of Artificial Intelligence (CESER Publications), vol. 10, no. S13, pp. 1-20, 2013 (pdf, www.ceser.in).
• R.-C. David, C.-A. Dragoş, R.-G. Bulzan, R.-E. Precup, E. M. Petriu and M.-B. Rădac, An approach to fuzzy modeling of magnetic levitation systems, International Journal of Artificial Intelligence (CESER Publications), vol. 9, no. A12, pp. 1-18, 2012 (pdf, www.ceser.in).
• C.-A. Dragoş, R.-E. Precup, St. Preitl, E. M. Petriu and A.-I. Stînean, Takagi-Sugeno fuzzy control solutions for mechatronic applications, International Journal of Artificial Intelligence (CESER Publications), vol. 8, no. S12, pp. 45-65, 2012 (pdf, www.ceser.in).
• Cl. Pozna, R.-E. Precup, L. T. Kóczy and Á. Ballagi, Potential field-based approach for obstacle avoidance trajectories, The IPSI BgD Transactions on Internet Research (IPSI Bgd Internet Research Society), vol. 8, no. 2, pp. 40-45, 2012 (ipsitransactions.org).
• T. Haidegger, L. Kovács, St, Preitl, R.-E. Precup, B. Benyó and Z. Benyó, Controller design solutions for long distance telesurgical applications, International Journal of Artificial Intelligence (CESER Publications), vol. 6, no. S11, pp. 48-71, 2011 (pdf, www.ceser.in).
• R.-E. Precup, M.-L. Tomescu, St. Preitl, E. M. Petriu, J. Fodor and A. S. Paul, Stable design of Takagi-Sugeno fuzzy controllers for a laboratory three-tank system, International Journal of Nuclear Knowledge Management (Inderscience Publishers), vol. 5, no. 2, pp. 126-147, 2011 (www.inderscience.com).
• R.-E. Precup, M.-L. Tomescu, E. M. Petriu and L.-E. Dragomir, Stable fuzzy logic control of generalized van der Pol oscillator, International Journal of Artificial Intelligence (CESER Publications), vol. 7, no. A11, pp. 36-46, 2011 (www.ceser.in).
• Cl. Pozna, R-E. Precup, N. Minculete and C. Alexandru, Modelling the Intelligence Phenomenon, Acta Technica Jaurinensis (Szechenyi Istvan University), vol. 4, no. 1, pp. 13-21, 2011 (acta.sze.hu).
• R.-E. Precup, M. L. Tomescu, St. Preitl and E. M. Petriu, Fuzzy logic-based stabilization of a magnetic ball suspension system, International Journal of Artificial Intelligence (CESER Publications), vol. 5, no. A10, pp. 56-66, 2010 (www.ceser.in).
• R.-E. Precup, M. L. Tomescu, St. Preitl and E. M. Petriu, Fuzzy Logic-based Stabilization of Nonlinear Time-varying Systems, International Journal of Artificial Intelligence (CESER Publications), vol. 3, no. A09, pp. 24-36, 2009 (www.ceser.in).
• R.-E. Precup, R.-C. David, St. Preitl and E. M. Petriu, Design aspects of optimal PI controllers with reduced sensitivity for a class of servo systems using PSO algorithms, Facta Universitatis, Series Automatic Control and Robotics (University of Nis), vol. 8, no. 1, pp. 1-12, 2009 (facta.junis.ni.ac.rs/acar/).
• R.-E. Precup, M. L. Tomescu, St. Preitl and I. Škrjanc, Stable Fuzzy Logic Control Solution for Lorenz Chaotic System Stabilization, International Journal of Artificial Intelligence (CESER Publications), vol. 1, no. A08, pp. 23-33, 2008 (www.ceser.in).
• M.-L. Tomescu, St. Preitl, R.-E. Precup and J. K. Tar, Stability Analysis Method for Fuzzy Control Systems Dedicated Controlling Nonlinear Processes, Acta Polytechnica Hungarica (Óbuda University), vol. 4, no. 3, pp. 127-141, 2007 (uni-obuda.hu/journal/).
• Cl. Pozna and R.-E. Precup, Plausible Reasoning in Modular Robotics and Human Reasoning, Acta Polytechnica Hungarica (Óbuda University), vol. 4, no. 4, pp. 133-147, 2007 (uni-obuda.hu/journal/).
• R.-E. Precup and St. Preitl, On a Class of Control Systems with Takagi-Sugeno PI-Fuzzy Controllers, Studies in Informatics and Control (National Institute for R&D in Informatics ICI Bucharest), vol. 15, no. 3, pp. 323-332, 2006 (sic.ici.ro).
• St. Preitl and R.-E. Precup, Sensitivity study of a class of fuzzy control systems, Periodica Polytechnica, Electrical Engineering (Budapest University of Technology and Economics), vol. 50, no. 3-4, pp. 255-268, 2006 (www.pp.bme.hu/ee/).
• St. Preitl, R.-E. Precup, J. Fodor and B. Bede, Iterative Feedback Tuning in Fuzzy Control Systems. Theory and Applications, Acta Polytechnica Hungarica (Óbuda University), vol. 3, no. 3, pp. 81-96, 2006 (uni-obuda.hu/journal/).
• Zs. Preitl, R.-E. Precup, J. K. Tar and M. Takács, Use of Multi-parametric Quadratic Programming in Fuzzy Control Systems, Acta Polytechnica Hungarica (Óbuda University), vol. 3, no. 3, pp. 29-43, 2006 (uni-obuda.hu/journal/).
• R.-E. Precup, St. Preitl, Cs. Szabo, P. Korondi and P. Szemes, On Some Low-Cost Tracking Controllers for Mobile Robots, Control and Intelligent Systems (Acta Press), vol. 33, no. 1, pp. 1-12, 2005 (www.actapress.com).
• R.-E. Precup and St. Preitl, Control Solutions in Mechatronics Systems, Facta Universitatis, Series Electronics and Energetics (University of Nis), vol. 18, no. 3, pp. 379-394, 2005 (factaee.elfak.ni.ac.rs).
• St. Preitl, R.-E. Precup and Zs. Preitl, Development of Conventional and Fuzzy Controllers and Takagi-Sugeno Fuzzy Models Dedicated for Control of Low Order Benchmarks with Time Variable Parameters, Acta Polytechnica Hungarica (Óbuda University), vol. 2, no. 1, pp. 75-92, 2005 (uni-obuda.hu/journal/).
• R.-E. Precup, St. Preitl and P. Korondi, Development of Fuzzy Controllers with Dynamics Regarding Stability Conditions and Sensitivity Analysis, Journal of Advanced Computational Intelligence and Intelligent Informatics (Fuji Technology Press), vol. 8, no. 5, pp. 499-506, 2004 (www.fujipress.jp/JACIII/).
• St. Preitl and R.-E. Precup, Points of View in Controller Design by Means of Extended Symmetrical Optimum Method, in: Control Systems Design 2003 (CSD '03), S. Kozak and M. Huba, Eds. (Elsevier), pp. 95-100, 2004 (books.google.ro).
• R.-E. Precup and St. Preitl, Popov-type Stability Analysis Method for Fuzzy Control Systems with PI Fuzzy Controllers, Revue Roumaine de Sciences Techniques, Serie Electrotechnique et Energetique (Editura Academiei Romane, Bucharest), vol. 48, no. 4, pp. 505-522, 2003 (m.riss.kr).
• R.-E. Precup and St. Preitl, Multiobjective Optimisation Criteria in Development of Fuzzy Controllers with Dynamics, in: Control Applications of Optimisation 2003, R. Bars and E. Gyurkovics, Eds. (Elsevier Science), pp. 257-262, 2003 (openlibrary.org).
• St. Preitl, Zs. Preitl and R.-E. Precup, Low Cost Fuzzy Controllers for Classes of Second-order Systems, in: Proceedings of the 15^th IFAC World Congress, E. F. Camacho, Ed. (Elsevier), CD-ROM, paper index 416, 6 pp., 2003 (www.ifac-papersonline.net, www.nt.ntnu.no).
• R.-E. Precup and St. Preitl, Development Method for a Takagi-Sugeno PI-fuzzy Controller, in: Proceedings of the 15^th IFAC World Congress, E. F. Camacho, Ed. (Elsevier), CD-ROM, paper index 390, 6 pp., 2003 (www.ifac-papersonline.net, www.nt.ntnu.no).
• R.-E. Precup and St. Preitl, On Some Low Cost Fuzzy Control Solutions for Third-Order Integral Actuators, in: Cost Oriented Automation (Low Cost Automation 2001), R. Bernhardt and H.-H. Erbe, Eds. (Elsevier Science), pp. 65-70, 2002 (bookweb.kinokuniya.co.jp).
• St. Preitl, R.-E. Precup, St. Solyom and L. Kovacs, Development of Conventional and Fuzzy Controllers for Output Coupled Drive Systems and Variable Inertia, in: Large Scale Systems: Theory and Applications 2001 (LSS'01), F. G. Filip, I. Dumitrache and S. Iliescu, Eds. (Elsevier Science), pp. 261-269, 2002 (www.researchgate.net).
• R.-E. Precup, St. Preitl and Zs. Preitl, Robustness Analysis of a Class of Fuzzy Systems, in: Large Scale Systems: Theory and Applications 2001 (LSS'01), F. G. Filip, I. Dumitrache and S. Iliescu, Eds. (Elsevier Science), pp. 249-254, 2002 (openlibrary.org).
• St. Preitl, R.-E. Precup and St. Kilyeni, State Space Approach to the Stability Analysis of a Class of Fuzzy Control Systems Meant for Third-order Plants, in: Artificial Intelligence in Real Time Control (AIRTC-2000), I. J. Rudas and J. K. Tar, Eds. (Elsevier Science), pp. 259-264, 2001 (openlibrary.org).
• St. Preitl and R.-E. Precup, Cross-optimization Aspects Concerning the Extended Symmetrical Optimum Method, in: Digital Control 2000: Past, Present and Future of PID Control, J. Quevedo and T. Escobet, Eds. (Elsevier Science), pp. 223-228, 2000 (www.elsevier.com/wps/find/).
• R.-E. Precup, St. Preitl and St. Solyom, Center Manifold Theory Approach to the Stability Analysis of Fuzzy Control Systems, in: Computational Intelligence. Theory and Applications, B. Reusch, Ed., Lecture Notes in Computer Science (Springer-Verlag), vol. 1625, pp. 382-390, 1999 (link.springer.com, dl.acm.org).
• R.-E. Precup and St. Preitl, Development of a Quasi-PI Fuzzy Controller Based on the Principle of Minimum Guaranteed Phase Margin, in: Proceedings of the 14^th World Congress of International Federation of Automatic Control, H.-F. Chen, D.-Z. Cheng and J.-F. Zhang, Eds. (Elsevier Science), vol. 12, pp. 183-188, 1999.
• S. Doboli and R.-E. Precup, Stability Analysis and Design of a Class of Fuzzy Control Systems, in: System Structure and Control 1997, Vl. Ionescu and D. Popescu, Eds. (Elsevier Science), pp. 333-338, 1998.
• R.-E. Precup and St. Preitl, On Some Predictive and Adaptive Fuzzy Controllers Based on Ensuring the Maximum Phase Reserve, in: System Structure and Control 1997, Vl. Ionescu and D. Popescu, Eds. (Elsevier Science), pp. 321-326, 1998 (openlibrary.org).
• R.-E. Precup, St. Preitl and P. Vukovic, On a Combination of Sliding Mode Control and Fuzzy Control, Facta Universitatis, Series Mechanics, Automatic Control and Robotics (University of Nis), vol. 6, no. 2, pp. 133-142, 1996.
• R.-E. Precup and St. Preitl, Fuzzy Control Algorithms Implementation for a Synchronous Generator Connected to a Power System, in: Integrated Systems Engineering, G. Johannsen, Ed. (Elsevier Science), pp. 377-386, 1995.
• St. Preitl and R.-E. Precup, On the Opportunity of ARW Measures in Fuzzy Control, in: Real World Applications of Intelligent Technologies, H.-J. Zimmermann, M. Gh. Negoita and D. Dascalu, Eds. (Editura Academiei Romane, Bucharest), pp. 149-153, 1995.