| An extension of tuning relations after symmetrical optimum method for PI and PID controllers S Preitl, RE Precup Automatica 35 (10), 1731-1736, 1999 | 332 | 1999 |
| Design and experiments for a class of fuzzy controlled servo systems RE Precup, S Preitl, IJ Rudas, ML Tomescu, JÓK Tar IEEE/ASME Transactions on Mechatronics 13 (1), 22-35, 2008 | 139 | 2008 |
| Novel adaptive gravitational search algorithm for fuzzy controlled servo systems RE Precup, RC David, EM Petriu, S Preitl, MB Radac IEEE Transactions on Industrial Informatics 8 (4), 791-800, 2012 | 119 | 2012 |
| Controller design solutions for long distance telesurgical applications T Haidegger, L Kovács, S Preitl, RE Precup, B Benyó, Z Benyó Int. J. Artif. Intell 6 (S11), 48-71, 2011 | 115 | 2011 |
| Fuzzy control system performance enhancement by iterative learning control RE Precup, S Preitl, JK Tar, ML Tomescu, M Takács, P Korondi, P Baranyi IEEE Transactions on Industrial Electronics 55 (9), 3461-3475, 2008 | 115 | 2008 |
| Cascade control for telerobotic systems serving space medicine T Haidegger, L Kovács, RE Precup, S Preitl, B Benyó, Z Benyó IFAC Proceedings Volumes 44 (1), 3759-3764, 2011 | 106 | 2011 |
| Generic two-degree-of-freedom linear and fuzzy controllers for integral processes RE Precup, S Preitl, EM Petriu, JK Tar, ML Tomescu, C Pozna Journal of the Franklin Institute 346 (10), 980-1003, 2009 | 103 | 2009 |
| Optimisation criteria in development of fuzzy controllers with dynamics RE Precup, S Preitl Engineering Applications of Artificial Intelligence 17 (6), 661-674, 2004 | 101 | 2004 |
| Gravitational search algorithm-based tuning of fuzzy control systems with a reduced parametric sensitivity RE Precup, RC David, EM Petriu, S Preitl, AS Paul Soft computing in industrial applications, 141-150, 2011 | 100 | 2011 |
| On the design of an obstacle avoiding trajectory: Method and simulation C Pozna, F Troester, RE Precup, JK Tar, S Preitl Mathematics and computers in simulation 79 (7), 2211-2226, 2009 | 99 | 2009 |
| Gravitational search algorithm-based design of fuzzy control systems with a reduced parametric sensitivity RC David, RE Precup, EM Petriu, MB Rădac, S Preitl Information Sciences 247, 154-173, 2013 | 98 | 2013 |
| Fuzzy logic‐based adaptive gravitational search algorithm for optimal tuning of fuzzy‐controlled servo systems RE Precup, RC David, EM Petriu, S Preitl, MB Rădac IET Control Theory & Applications 7 (1), 99-107, 2013 | 98 | 2013 |
| Experiment-based teaching in advanced control engineering RE Precup, S Preitl, MB Radac, EM Petriu, CA Dragos, JK Tar IEEE Transactions on Education 54 (3), 345-355, 2010 | 96 | 2010 |
| Fuzzy logic control system stability analysis based on Lyapunov’s direct method RE Precup, ML Tomescu International Journal of Computers Communications & Control 4 (4), 415-426, 2009 | 96 | 2009 |
| Iterative feedback and learning control. Servo systems applications S Preitl, RE Precup, Z Preitl, S Vaivoda, S Kilyeni, JK Tar IFAC Proceedings Volumes 40 (8), 16-27, 2007 | 96 | 2007 |
| Fuzzy controllers with maximum sensitivity for servosystems RE Precup, S Preitl, P Korondi IEEE Transactions on Industrial Electronics 54 (3), 1298-1310, 2007 | 95 | 2007 |
| Simulation and control for telerobots in space medicine T Haidegger, L Kovács, RE Precup, B Benyó, Z Benyó, S Preitl Acta Astronautica 81 (1), 390-402, 2012 | 93 | 2012 |
| Fuzzy control systems with reduced parametric sensitivity based on simulated annealing RE Precup, RC David, EM Petriu, S Preitl, MB Radac IEEE Transactions on industrial electronics 59 (8), 3049-3061, 2011 | 93 | 2011 |
| Development of fuzzy controllers with non-homogeneous dynamics for integral-type plants RE Precup, S Preitl Electrical Engineering 85, 155-168, 2003 | 93 | 2003 |
| Evolutionary optimization-based tuning of low-cost fuzzy controllers for servo systems RE Precup, RC David, EM Petriu, MB Rădac, S Preitl, J Fodor Knowledge-Based Systems 38, 74-84, 2013 | 90 | 2013 |
