· Cumulative Clarivate Analytics Web of Science (formerly ISI Web of Knowledge) impact factor (IF) = 81.1.
· 1 book .
· 12 book chapters .
· 19 Papers in Clarivate Analytics Web of Science (formerly ISI Web of Knowledge) journals.
· Over 150 papers published contributions in refereed academic conferences .
· 2028 citations , h-index = 21 and i10-index = 46 according to Scholar Google, (https://scholar.google.ro/citations?user=oWLCV_4AAAAJ&hl=ro).
· 1034 citations în Thomson Reuters Web of Science (formerly ISI Web of Knowledge) articles of my 100 Clarivate Analytics Web of Science articles, h-index = 17 according to Clarivate Analytics Web of Science
(https://www.webofscience.com/wos/author/record/AAY-6390-2021).
· 1629 citations în Scopus articles of my 148 Scopus articles, h-index = 20 according to Scopus; (https://www.scopus.com/authid/detail.uri?authorId=27367710400).
· The address of and the link to the Open Researcher & Contributor ID (ORCID): https://orcid.org/0000-0003-2465-9283.
QUANTITATIVE QUALITY INDICES FOR THE RESULTS OF THE RESEARCH ACTIVITY IN 2019-2023
· Cumulative Clarivate Analytics Web of Science (formerly ISI Web of Knowledge) impact factor (IF) = 39.9.
· Cumulative Article Influence Score (AIS): A = 1.276/6 + 0.651/6 + 0.302/6 + 0.272/5 + 0.453/6 + 0.390/5 + 0.302/5 + 0.651/7 + 0.170/3 = 0.789.
· 3 papers in Q2 quartile according to AIS 2022 (JCR as of June 2023).
· 3 national research contracts and grants in the field of automatic control, director to one of them.
· One international research contract (member) in 2023-2025 with Zhejiang University (China), partners: Swedish National Road and Transport Research Institute (Sweden), Chalmers University of Technology (Sweden), Chongqing University (China), The Hong Kong Polytechnic University Shenzhen Research Institute (China), WSP Sverige AB (Sweden), FellowBot AB (Sweden), Hangzhou Comprehensive Transportation Center (China), Enjoyor Ltd Co. (China).
Publications in 2019 – 2023
Papers in Clarivate Analytics Web of Science (formerly ISI Web of Knowledge) journals (https://www.aut.upt.ro/~claudia.dragos/Publications.html)
1. A.-I. Szedlak-Stinean, R.-E.Precup, E. M Petriu, R.-C. Roman, E.-L. Hedrea, C.-A. Bojan-Dragos, Extended Kalman filter and Takagi-Sugeno fuzzy observer for a strip winding system, Expert Systems with Applications, vol. 208, pp. 118-215, 2022, impact factor (IF) = 8.5, IF according to 2022 Journal Citation Reports (JCR) released by Clarivate Analytics in 2023 = 8.5(Computer Science, Artificial Intelligence, red zone (Q1)), Article Influence Score (AIS) = 1.276, Q2 quartile AIS 2022 (conform JCR iunie 2023) (www.sciencedirect.com).
2. R.-E. Precup, S. Preitl, C.-A. Bojan-Dragoş, E.-L. Hedrea, R.-C. Roman and E. M. Petriu, A low-cost approach to data-driven fuzzy control of servo systems, Facta Universitatis, Series: Mechanical Engineering (University of Nis), vol. 20, no. 1, pp. 21-36, 2022, impact factor (IF) = 7.9, IF according to 2022 Journal Citation Reports (JCR) released by Clarivate Analytics in 2023 = 7.9(Engineering, Mechanical, red zone (Q1)), Article Influence Score (AIS) = 0.551,Q2 quartile AIS 2022 (conform JCR iunie 2023) (casopisi.junis.ni.ac.rs).
3. R.-E. Precup, R.-C. Roman, E.-L. Hedrea, C.-A. Bojan-Dragoş, M.-M. Damian and M.-L. Nedelcea, Performance Improvement of Low-Cost Iterative Learning-Based Fuzzy Control Systems for Tower Crane Systems, International Journal of Computers Communications &Control, vol. 17, no. 1, 4623, pp. 1-18, 2022, impact factor (IF) = 2.7, IF according to 2022 Journal Citation Reports (JCR) released by Clarivate Analytics in 2023 = 2.7, Article Influence Score (AIS) = 0.302, Q4 quartile AIS 2022 (conform JCR iunie 2023) (univagora.ro).
4. R.-E. Precup, C.-A. Bojan-Dragoş, E.-L. Hedrea, R.-C. Roman and E. M. Petriu, Evolving Fuzzy Models of Shape Memory Alloy Wire Actuators, Romanian Journal of Information Science and Technology (Romanian Academy, Section for Information Science and Technology), vol. 24, no. 4, pp. 353-365, 2021, impact factor (IF) = 0.852, IF according to 2022 Journal Citation Reports (JCR) released by Clarivate Analytics in 2023 = 3.5 (Computer Science, Theory & Methods, yellow zone (Q2)), Article Influence Score (AIS) = 0.272, Q4 quartile AIS 2022 (conform JCR iunie 2023) (www.romjist.ro).
5. R.-E. Precup, E.-L. Hedrea, R.-C. Roman, E. M. Petriu, A.-I. Szedlak-Stînean and C.-A. Bojan-Dragoş, Experiment-Based Approach to Teach Optimization Techniques, IEEE Transactions on Education, vol. 64, no. 2, pp. 88-94, 2021, impact factor (IF) = 2.116, IF according to 2022 Journal Citation Reports (JCR) released by Clarivate Analytics in 2023 = 2.6, Article Influence Score (AIS) = 0.453, Q3 quartile AIS 2022 (conform JCR iunie 2023)(ieeexplore.ieee.org).
6. E.-L. Hedrea, R.-E. Precup, E. M. Petriu, C.-A. Bojan-Dragoş and C. Hedrea, Tensor product-based model transformation approach to cart position modeling and control in pendulum-cart systems, Asian Journal of Control (John Wiley and Sons), vol. 23, no. 3, pp. 1238-1248, 2021, impact factor (IF) = 3.452, IF according to 2022 Journal Citation Reports (JCR) released by Clarivate Analytics in 2023 = 2.4, Article Influence Score (AIS) = 0.390, Q3 quartile AIS 2022 (conform JCR iunie 2023) (onlinelibrary.wiley.com).
7. R.-E. Precup, R.-C. Roman, E.-L. Hedrea, E. M. Petriu and C.-A. Bojan-Dragoş, Data-Driven Model-Free Sliding Mode and Fuzzy Control with Experimental Validation, International Journal of Computers Communications & Control (Agora University Editing House - CCC Publications), vol. 16, no. 1, 4076, pp. 1-17, 2021, impact factor (IF) = 2.635, IF according to 2022 Journal Citation Reports (JCR) released by Clarivate Analytics in 2023 = 2.7, Article Influence Score (AIS) = 0.302, Q4 quartile AIS 2022 (conform JCR iunie 2023) (univagora.ro).
8. R.-E. Precup, S. Preitl, E. M. Petriu, R.-C. Roman, C.-A. Bojan-Dragoş, E.-L. Hedrea and A.-I. Szedlak-Stînean, A center manifold theory-based approach to the stability analysis of state feedback Takagi-Sugeno-Kang fuzzy control systems, Facta Universitatis, Series: Mechanical Engineering (University of Nis), vol. 18, no. 2, pp. 189-204, 2020, impact factor (IF) = 3.324, IF according to 2022 Journal Citation Reports (JCR) released by Clarivate Analytics in 2023 = 7.9(Engineering, Mechanical, red zone (Q1)), Article Influence Score (AIS) = 0.551,Q2 quartile AIS 2022 (conform JCR iunie 2023) (casopisi.junis.ni.ac.rs).
9. E.-L. Hedrea, R.-E. Precup and C.-A. Bojan-Dragoş, Results on Tensor Product-based Model Transformation of Magnetic Levitation Systems, Acta Polytechnica Hungarica, vol. 16, no. 9, pp. 93-111, 2019, impact factor (IF) = 1.219, IF according to 2020 Journal Citation Reports (JCR) released by Clarivate Analytics in 2021 = 1.7, Article Influence Score (AIS) = 0.170, Q4 quartile AIS 2022 (conform JCR iunie 2023) (uni-obuda.hu).
Books
1. C.-A. Bojan-Dragoş, R.-E. Precup and E.-L. Hedrea, Fuzzy Control Systems with Mechatronics Applications (in Romanian: Sisteme de reglare fuzzy cu aplicatii mecatronice), Editura Politehnica, Timisoara, 162 pp., 2022.
Papers in Refereed Journals / Contributions to Books
1. 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, Proceedings of 9th International Conference on Information Technology and Quantitative Management ITQM 2022, Beijing and Zhangjiakou, China, 2022, Procedia Computer Science (Elsevier), vol. 214, pp. 195-202, 2022, indexed in sciencedirect (www.sciencedirect.com).
2. 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).
3. 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).
4. 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).
5. 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).
Published contributions in refereed academic conferences
1. C.-A. Bojan-Dragoş, R.-E. Precup, A.-I. Szedlak-Stînean, R.-C. Roman, E.-L. Hedrea and E. M. Petriu, Sliding Mode and Super-Twisting Sliding Mode Control Structures for SMA Actuators, Proceedings of 2023 European Control Conference ECC 2023, Bucharest, Romania, pp. 1-6, 2023, indexed in Clarivate Analytics Web of Science (ieeexplore.ieee.org).
2. C.-A. Bojan-Dragoş, R.-E. Precup, R.-C. Roman, E. M. Petriu and M. Muntyan, PI and Super Twisting Sliding Mode with Smith Predictor Control Structures for SMA Actuators, Proceedings of 32nd International Symposium on Industrial Electronics ISIE 2023, Helsinki-Espoo, Finland, pp. 1-7, 2023, indexed in Scopus (ieeexplore.ieee.org).
3. R.-E. Precup, R.-C. Roman, E.-L. Hedrea, E. M Petriu, C.-A. Bojan-Dragos, Alexandra-Iulia Szedlak-Stinean, Slime Mold Algorithm-Based Performance Improvement of PD-Type Indirect Iterative Learning Fuzzy Control of Tower Crane Systems, Proceedings of 57th Annual Conference on Information Sciences and Systems, pp. 1-6, 2023 (ieeexplore.ieee.org).
4. A.-I. Szedlak-Stînean, R.-E. Precup, R.-C. Roman, E. M. Petriu, C.-A. Bojan-Dragoş and E.-L. Hedrea, Discrete-time Linear and Nonlinear Observers for an Electromechanical Plant with State Feedback Control, Proceedings of 2022 IEEE Symposium Series on Computational Intelligence SSCI 2022, Singapore, pp. 700-707, 2022, indexed in Clarivate Analytics Web of Science (ieeexplore.ieee.org).
5. R.-E. Roman, R.-E. Precup, S. Preitl, C.-A. Bojan-Dragoş, A.-I. Szedlak-Stînean and E.-L. Hedrea, Data-Driven Control Algorithms for Shape Memory Alloys, Proceedings of 2022 IEEE Conference on Control Technology and Applications CCTA 2022, Trieste, Italy, pp. 1306-1312, 2022, indexed in INSPEC and Scopus (ieeexplore.ieee.org).
6. E.-L. Hedrea, R.-E. Precup, R.-C. Roman, C.-A. Bojan-Dragos, A.-I. Szedlak-Stinean, C. Hedrea, Tensor Product-based and State Feedback Structures for Level Control of Vertical Three Tank Systems, Proceedings of 26th International Conference on System Theory, Control and Computing, pp. 195-200, 2022 (ieeexplore.ieee.org).
7. R.-E. Precup, E.-L. Hedrea, R.-C. Roman, E. M Petriu, C.-A. Bojan-Dragos, A.-I. Szedlak-Stinean, F.-C. Paulescu, AVOA-based tuning of low-cost fuzzy controllers for tower crane systems, Proceedings of IEEE International Conference on Fuzzy Systems, pp. 1-8, 2022 (ieeexplore.ieee.org).
8. R.-E. Precup, E.-L. Hedrea, R.-C. Roman, E. M. Petriu, C.-A. Bojan-Dragoş, A.-I. Szedlak-Stînean and C. Hedrea, Evolving Fuzzy and Tensor Product-based Models for Tower Crane Systems, Proceedings of 48th Annual Conference of the IEEE Industrial Electronics Society IECON 2022, Brussels, Belgium, pp. 1-6, 2022, indexed in INSPEC and Scopus (ieeexplore.ieee.org).
9. R.-E. Precup, E.-L. Hedrea, R.-C. Roman, E. M Petriu, C.-A. Bojan-Dragos, A.-I. Szedlak-Stinean, GWO-based performance improvement of PD-type iterative learning fuzzy control of tower crane systems, Proceedings of IEEE 31st International Symposium on Industrial Electronics, pp. 1041-1046, 2022 (ieeexplore.ieee.org).
10. R.-C. Roman, R.-E. Precup, S. Preitl, A.-I. Szedlak-Stînean, C.-A. Bojan-Dragoş, E.-L. Hedrea and E. M. Petriu, PI Controller Tuning via Data-Driven Algorithms for Shape Memory Alloy Systems, Proceedings of 1st IFAC Workshop on Control of Complex Systems COSY 2022, Bologna, Italy, 2022, IFAC-PapersOnLine, vol. 55, no. 40, pp. 181-186, 2022, indexed in Clarivate Analytics Web of Science (www.sciencedirect.com).
11. C.-A. Bojan-Dragos, R.-E. Precup, E. M Petriu, R.-C. Roman, E.-L. Hedrea, A.-I. Szedlak-Stinean, GWO-Based Optimal Tuning of Controllers for Shape Memory Alloy Wire Actuators, IFAC-PapersOnLine, vol. 55, no. 15, pp. 39-44, 2022 (www.sciencedirect.com).
12. C.-A. Bojan-Dragoş, R.-E. Precup, S. Preitl, R.-C. Roman, E.-L. Hedrea and A.-I. Szedlak-Stînean, GWO-Based Optimal Tuning of Type-1 and Type-2 Fuzzy Controllers for Electromagnetic Actuated Clutch Systems, Proceedings of 4th IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control CESCIT 2021, Valenciennes, France, 2021, IFAC-PapersOnLine, vol. 54, no. 4, pp. 189-194, 2021 (www.sciencedirect.com).
13. Hedrea, E.-L., Precup, R.-E., Roman, R.-C., Petriu, E. M., Bojan-Dragoş, C.-A. and Hedrea, C. (2021). Tensor Product-Based Model Transformation Technique Applied to Servo Systems Modeling, Proceedings of 30th International Symposium on Industrial Electronics ISIE 2021, Kyoto, Japan, 1-6, indexed in IEEE Xplore (ieeexplore.ieee.org).
14. R.-C. Roman, R.-E. Precup, E. M. Petriu, C.-A. Bojan-Dragoş, V.-B. Vanya and M.-D. Rarinca, Second Order Active Disturbance Rejection Control - Virtual Reference Feedback Tuning for Twin Rotor Aerodynamic Systems, Proceedings of 2020 IEEE International Conference on Systems, Man, and Cybernetics SMC 2020, Toronto, ON, Canada, pp. 1693-1698, 2020 (ieeexplore.ieee.org).
15. E.-L. Hedrea, R.-E. Precup, C.-A. Bojan-Dragoş, Hedrea, C, TP-Based Fuzzy Control Solutions for Magnetic Levitation Systems, 2019 23RD International Conference on System Theory, Control And Computing (ICSTCC), Sinaia, ROMANIA, pp. 809-814, 2019 (ieeexplore.ieee.org).
16. E.-L. Hedrea, R.-E. Precup, C.-A. Bojan-Dragoş, O. Tanasoiu, Tensor Product-Based Model Transformation Technique Applied to Modeling Magnetic Levitation Systems, 2019 IEEE 23RD International Conference on Intelligent Engineering Systems (INES 2019), Godollo, HUNGARY, pp. 179-184, 2019 (ieeexplore.ieee.org).
17. C.-A. Bojan-Dragoş, E.-L. Hedrea, R.-E. Precup, A.-I. Szedlak-Stînean, R.-C. Roman, MIMO Fuzzy Control Solutions for the Level Control of Vertical Two Tank Systems, Proceedings of The 16TH International Conference On Informatics In Control, Automation And Robotics, VOL 1, Prague, CZECH REPUBLIC, pp. 810-817, 2019 (www.insticc.org).
18. R.-C. Roman, R.-E. Precup, E. M. Petriu, E.-L. Hedrea, C.-A. Bojan-Dragoş and M.-B. Rădac, Model-Free Adaptive Control With Fuzzy Component for Tower Crane Systems, Proceedings of 2019 IEEE International Conference on Systems, Man and Cybernetics SMC 2019, Bari, Italy, pp. 1400-1405, 2019 (ieeexplore.ieee.org).
19. E.-L. Hedrea, R.-E. Precup, C.-A. Bojan-Dragoş, E. M. Petriu and R.-C. Roman, Tensor Product-Based Model Transformation and Sliding Mode Control of Electromagnetic Actuated Clutch System, Proceedings of 2019 IEEE International Conference on Systems, Man and Cybernetics SMC 2019, Bari, Italy, pp. 1418-1423, 2019 (ieeexplore.ieee.org).
20. E.-L. Hedrea, R.-E. Precup, C.-A. Bojan-Dragoş, C. Hedrea, D. Ples, D. Popovici, Cascade Control Solutions for Level Control of Vertical Three Tank Systems, IEEE 13TH International Symposium On Applied Computational Intelligence And Informatics (SACI 2019), Timisoara, ROMANIA, pp. 353-358, 2019 (ieeexplore.ieee.org).
Relevant Publications in 2009 – 2018
Papers in Clarivate Analytics Web of Science (formerly ISI Web of Knowledge) journals
1. C.-A. Bojan-Dragoş, M.-B. Rădac, R.-E. Precup, E.-L. Hedrea and O.-M. Tănăsoiu, Gain-Scheduling Control Solutions for Magnetic Levitation Systems, Acta Polytechnica Hungarica, vol. 15, no. 5, pp. 89-108, 2018, impact factor (IF) = 1.286, IF according to 2022 Journal Citation Reports (JCR) released by Clarivate Analytics in 2023 = 1.7, Article Influence Score (AIS) = 0.170, Q4 quartile AIS 2022 (conform JCR iunie 2023) (www.uni-obuda.hu/journal/).
2. R.-E. Precup, T.-A. Teban, A. Albu, A.-I. Szedlak-Stînean and C.-A. Bojan-Dragoş, Experiments in Incremental Online Identification of Fuzzy Models of Finger Dynamics, Romanian Journal of Information Science and Technology (Romanian Academy, Section for Information Science and Technology), vol. 21, no. 4, pp. 358-376, 2018, impact factor (IF) = 0.661, IF according to 2022 Journal Citation Reports (JCR) released by Clarivate Analytics in 2023 = 3.5, Article Influence Score (AIS) =
0.272, Q4 quartile AIS 2022 (conform JCR iunie 2023) (www.romjist.ro).
3. C.-A. Bojan-Dragoş, R.-E. Precup, M. L. Tomescu, S. Preitl, O.-M. Tănăsoiu and S. Hergane, Proportional-Integral-Derivative Gain-Scheduling Control of a Magnetic Levitation System, International Journal of Computers Communications & Control (Agora University Editing House - CCC Publications), vol. 12, no. 5, pp. 599-611, 2017, impact factor (IF) = 1.290, IF according to 2022 Journal Citation Reports (JCR) released by Clarivate Analytics in 2023 = 2.7, Article Influence Score (AIS) =
0.302, Q4 quartile AIS 2022 (conform JCR iunie 2023) (univagora.ro/jour/).
4. R.-E. Precup, St. Preitl, C.-A. Bojan-Dragoş, M.-B. Rădac, A.-I. Szedlak-Stînean, E.-L. Hedrea and R.-C. Roman, Automotive Applications of Evolving Takagi-Sugeno-Kang Fuzzy Models, Facta Universitatis, Series: Mechanical Engineering (University of Nis), vol. 15, no 2, pp. 231-244, 2017, impact factor (IF) = 0.000, IF according to 2022 Journal Citation Reports (JCR) released by Clarivate Analytics in 2023 = 7.9, Article Influence Score (AIS) = 0.651, Q2 quartile AIS 2022 (conform JCR
iunie 2023) (casopisi.junis.ni.ac.rs).
5. R.-E. Precup, E. M. Petriu, M.-B. Rădac, St. Preitl, L.-O. Fedorovici and C.-A. Dragoş, Cascade control system-based cost effective combination of tensor product model transformation and fuzzy control, Asian Journal of Control (John Wiley and Sons), vol. 17, no. 2, pp. 381-391, 2015, impact factor (IF) = 1.407, IF according to 2022 Journal Citation Reports (JCR) released by Clarivate Analytics in 2023 = 2.4, Article Influence Score (AIS) = 0.390, Q3 quartile AIS 2022 (conform JCR
iunie 2023) (onlinelibrary.wiley.com).
6. R.-E. Precup, H.-I. Filip, M.-B. Rădac, E. M. Petriu, St. Preitl and C.-A. Dragoş, Online Identification of Evolving Takagi-Sugeno-Kang Fuzzy Models for Crane Systems, Applied Soft Computing (Elsevier Science), vol. 24, pp. 1155-1163, 2014, impact factor (IF) = 2.810, IF according to 2022 Journal Citation Reports (JCR) released by Clarivate Analytics in 2023 = 8.7, Article Influence Score (AIS) = 1.265, Q2 quartile AIS 2022 (conform JCR iunie 2023) (www.sciencedirect.com).
7. R.-E. Precup, M.-L. Tomescu and C.-A. Dragoş, Stabilization of Rössler chaotic dynamical system using fuzzy logic control algorithm, International Journal of General Systems (Taylor & Francis), vol. 43, no. 5, pp. 413-433, 2014, impact factor (IF) = 1.637, IF according to 2022 Journal Citation Reports (JCR) released by Clarivate Analytics in 2023 = 2, Article Influence Score (AIS) = 0.418, Q3 quartile AIS 2022 (conform JCR iunie 2023) (www.tandfonline.com).
8. R.-E. Precup, M. L. Tomescu, M.-B. Rădac, E. M. Petriu, St. Preitl and C.-A. Dragoş, Iterative performance improvement of fuzzy control systems for three tank systems, Expert Systems with Applications (Elsevier Science), vol. 39, no. 9, pp. 8288-8299, 2012, impact factor (IF) = 1.854, IF according to 2022 Journal Citation Reports (JCR) released by Clarivate Analytics in 2023 = 8.5, Article Influence Score (AIS) = 1.276, Q1 quartile AIS 2022 (conform JCR iunie 2023) (www.sciencedirect.com,
dl.acm.org).
9. R.-E. Precup, C.-A. Dragoş, St. Preitl, M.-B. Rădac and E. M. Petriu, Novel tensor product models for automatic transmission system control, IEEE Systems Journal, vol. 6, no. 3, pp. 488-498, 2012, impact factor (IF) = 1.270, IF according to 2022 Journal Citation Reports (JCR) released by Clarivate Analytics in 2023 = 4.4, Article Influence Score (AIS) = 0.885, Q2 quartile AIS 2022 (conform JCR iunie 2023) (ieeexplore.ieee.org).
10. R.-E. Precup, St. Preitl, M.-B. Rădac, E. M. Petriu, C.-A. Dragoş and J. K. Tar, Experiment-based teaching in advanced control engineering, IEEE Transactions on Education, vol. 54, no. 3, pp. 345-355, 2011, impact factor (IF) = 1.021, IF according to 2022 Journal Citation Reports (JCR) released by Clarivate Analytics in 2023 = 2.6, Article Influence Score (AIS) = 0.453, Q3 quartile AIS 2022 (conform JCR iunie 2023) (ieeexplore.ieee.org,
dl.acm.org).
Book chapters
1. St. Preitl, R.-E. Precup, Zs. Preitl, A.-I. Stînean, C.-A. Dragoş and M.-B. Rădac, Pragmatic Design Methods Using Adaptive Controller Structures for Mechatronic Applications with Variable Parameters and Working Conditions, in: Complex Systems, G. M. Dimirovski, Ed., Studies in Systems, Decision and Control, vol. 55 (Springer International Publishing), pp. 619-647, 2016 (link.springer.com,
link.springer.com).
2. St. Preitl, R.-E. Precup, Z. Preitl, A.-I. Stînean, M.-B. Rădac and C.-A. Dragoş, Control Algorithms for Plants Operating Under Variable Conditions, Applications, in: Advances in Soft Computing, Intelligent Robotics and Control, J. Fodor and R. Fuller, Eds., Topics in Intelligent Engineering and Informatics, vol. 8 (Springer-Verlag), pp. 3-39, 2014 (link.springer.com,
link.springer.com).
3. R.-C. David, R.-B. Grad, R.-E. Precup, M.-B. Rădac, C.-A. Dragoş and E. M. Petriu, An Approach to Fuzzy Modeling of Anti-lock Braking Systems, in: Soft Computing in Industrial Applications, V. Snášel, P. Krömer, M. Köppen and G. Schaefer, Eds., Advances in Intelligent Systems and Computing, vol. 223 (Springer-Verlag), pp. 83-93, 2014 (link.springer.com, link.springer.com).
4. A.-I. Stînean, St. Preitl, R.-E. Precup, C.-A. Dragoş and M.-B. Rădac, Classical and Fuzzy Approaches to 2-DOF Control Solutions for BLDC-m Drives, in: Intelligent Systems: Models and Applications, E. Pap, Ed., Topics in Intelligent Engineering and Informatics, vol. 3 (Springer-Verlag), pp. 175-193, 2013 (link.springer.com, link.springer.com).
5. R.-E. Precup, F.-C. Enache, M.-B. Rădac, E. M. Petriu, St. Preitl and C.-A. Dragoş, Lead-Lag Controller-Based Iterative Learning Control Algorithms for 3D Crane Systems, in: Aspects of Computational Intelligence: Theory and Applications, L. Madarász and J. Živčák, Eds., Topics in Intelligent Engineering and Informatics, vol. 2 (Springer-Verlag), pp. 25-38, 2013 (link.springer.com,
link.springer.com).
6. St. Preitl, A.-I. Stînean, R.-E. Precup, C.-A. Dragoş and M.-B. Rădac, 2-DOF and Fuzzy Control Extensions of Symmetrical Optimum Design Method: Applications and Perspectives, in: Applied Computational Intelligence in Engineering and Information Technology, R.-E. Precup, Sz. Kovács, St. Preitl and E. M. Petriu, Eds., Topics in Intelligent Engineering and Informatics, vol. 1 (Springer-Verlag), pp. 19-37, 2012 (link.springer.com,
link.springer.com).
7. C.-A. Dragoş, St. Preitl, R.-E. Precup and E. M. Petriu, Points of View on Magnetic Levitation System Laboratory-Based Control Education, in: Human-Computer Systems Interaction: Backgrounds and Applications 2, Part 2, Z. S. Hippe, J. L. Kulikowski and T. Mroczek, Eds., Advances in Intelligent and Soft Computing, vol. 99 (Springer-Verlag), pp. 261-275, 2012 (link.springer.com,
link.springer.com).
8. R.-E. Precup, S. V. Spătaru, M.-B. Rădac, E. M. Petriu, St. Preitl, C.-A. Dragoş and R.-C. David, Experimental Results of Model-Based Fuzzy Control Solutions for a Laboratory Antilock Braking System, in: Human-Computer Systems Interaction: Backgrounds and Applications 2, Part 2, Z. S. Hippe, J. L. Kulikowski and T. Mroczek, Eds., Advances in Intelligent and Soft Computing, vol. 99 (Springer-Verlag), pp. 223-234, 2012 (link.springer.com,
link.springer.com).
9. M.-B. Rădac, R.-E. Precup, E. M. Petriu, St. Preitl and C.-A. Dragoş, Convergent Iterative Feedback Tuning of State Feedback-Controlled Servo Systems, in: Informatics in Control Automation and Robotics, J. Andrade Cetto, J. Filipe and J.-L. Ferrier, Eds., Lecture Notes in Electrical Engineering, vol. 85 (Springer-Verlag), pp. 99-111, 2011 (link.springer.com,
link.springer.com).
10. C.-A. Dragoş, St. Preitl, R.-E. Precup, M. Creţiu and J. Fodor, Modern Control Solutions with Applications in Mechatronic Systems, in: Computational Intelligence in Engineering, I. J. Rudas, J. Fodor and J. Kacprzyk, Eds., Studies in Computational Intelligence, vol. 313 (Springer-Verlag), pp. 87-102, 2010 (link.springer.com, link.springer.com).
11. St. Preitl, R.-E. Precup, M.-L. Tomescu, M.-B. Rădac, E. M. Petriu and C.-A. Dragoş, Model-Based Design Issues in Fuzzy Logic Control, in: Towards Intelligent Engineering and Information Technology, I. J. Rudas, J. Fodor and J. Kacprzyk, Eds., Studies in Computational Intelligence, vol. 243 (Springer-Verlag), pp. 137-152, 2009 (link.springer.com, link.springer.com).
12. R.-E. Precup, M.-B. Rădac, St. Preitl, E. M. Petriu and C.-A. Dragoş, Iterative Feedback Tuning in Linear and Fuzzy Control Systems, in: Towards Intelligent Engineering and Information Technology, I. J. Rudas, J. Fodor and J. Kacprzyk, Eds., Studies in Computational Intelligence, vol. 243 (Springer-Verlag), pp. 179-192, 2009 (link.springer.com, link.springer.com).
Papers in Refereed Journals / Contributions to Books
1. 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).
Published contributions in refereed academic conferences
1. A.-I. Szedlak-Stînean, C.-A. Bojan-Dragoş, R.-E. Precup and M.-B. Rădac, Gain-Scheduling Control Solutions for a Strip Winding System with Variable Moment of Inertia, Proceedings of 3rd IFAC Conference on Advances in Proportional-Integral-Derivative Control PID 2018, Ghent, Belgium, 2018, IFAC-PapersOnLine, vol. 51, no. 4, pp. 370-375, 2018 (www.sciencedirect.com).
2. C.-A. Bojan-Dragoş, M.-B. Rădac, R.-E. Precup, E.-L. Hedrea, A.-I. Szedlak-Stînean and S. Preitl, Gain-Scheduling Position Control Approaches for Electromagnetic Actuated Clutch Systems, Proceedings of 15th International Conference on Informatics in Control, Automation and Robotics ICINCO 2018, Porto, Portugal, vol. 2, pp. 411-418, 2018 (www.scitepress.org).
3. E.-L. Hedrea, C.-A. Bojan-Dragoş, R.-E. Precup and E. M. Petriu, Comparative Study of Control Structures for Maglev Systems, Proceedings of 2018 IEEE 18th International Conference on Power Electronics and Motion Control PEMC 2018, Budapest, Hungary, pp. 657-662, 2018 (ieeexplore.ieee.org).
4. C.-A. Bojan-Dragoş, R.-E. Precup, E.-L. Hedrea, A. Simo and A. Daia, Discrete time Control Solutions for Inverted Pendulum Crane Mode Control, Proceedings of 18th IEEE International Symposium on Computational Intelligence and Informatics CINTI 2018, Budapest, Hungary, pp. 295-300, 2018 (ieeexplore.ieee.org).
5. L.-E. Hedrea, C.-A. Bojan-Dragoş, R.-E. Precup, R.-C. Roman, E. M. Petriu and C. Hedrea, Tensor Product-Based Model Transformation for Position Control of Magnetic Levitation Systems, Proceedings of 2017 IEEE International Symposium on Industrial Electronics ISIE 2017, Edinburgh, UK, pp. 1141-1146, 2017 (ieeexplore.ieee.org).
6. E.-L. Hedrea, C.-A. Bojan-Dragoş, R.-E. Precup and T.-A. Teban, Tensor Product-Based Model Transformation for Level Control of Vertical Three Tank Systems, Proceedings of 21st International Conference on Intelligent Engineering Systems INES 2017, Larnaca, Cyprus, pp. 113-118, 2017 (ieeexplore.ieee.org).
7. R.-E. Precup, C.-A. Bojan-Dragoş, E.-L. Hedrea, M.-D. Rarinca and E. M. Petriu, Evolving Fuzzy Models for the Position Control of Magnetic Levitation Systems, Proceedings of 2017 IEEE Conference on Evolving and Adaptive Intelligent Systems EAIS 2017, Ljubljana, Slovenia, pp. 1-6, 2017 (ieeexplore.ieee.org).
8. R.-E. Precup, C.-A. Bojan-Dragoş, E.-L. Hedrea, I.-D. Borlea and E. M. Petriu, Evolving Fuzzy Models for Anti-lock Braking Systems, Proceedings of 2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications CIVEMSA 2017, Annecy, France, pp. 48-53, 2017 (ieeexplore.ieee.org).
9. C.-A. Bojan-Dragoş, A.-I. Stînean, R.-E. Precup, St. Preitl and E. M. Petriu, Model Predictive Control Solution for Magnetic Levitation Systems, Proceedings of 20th International Conference on Methods and Models in Automation & Robotics MMAR 2015, Miedzyzdroje, Poland, pp. 139-144, 2015 (ieeexplore.ieee.org).
10. C.-A. Dragoş, St. Preitl, R.-E. Precup, E. M. Petriu and A.-I. Stînean, Adaptive Control Solutions for the Position Control of Electromagnetic Actuated Clutch Systems, Proceedings of 2012 IEEE Intelligent Vehicles Symposium IEEE IV'12, Alcala de Henares, Spain, pp. 81-86, 2012 (ieeexplore.ieee.org).
11. R.-E. Precup, L.-T. Dioanca, E. M. Petriu, M.-B. Rădac, St. Preitl and C.-A. Dragoş, Tensor Product-Based Real-time Control of the Liquid Levels in a Three Tank System, Proceedings of 2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics AIM 2010, Montreal, Canada, pp. 768-773, 2010 (ieeexplore.ieee.org).