Stefan Preitl mainly focuses on Control theory, Fuzzy control system, Fuzzy logic, Servomechanism and Sensitivity. His work in Control theory is not limited to one particular discipline; it also encompasses Control engineering. When carried out as part of a general Control engineering research project, his work on Gain scheduling is frequently linked to work in Anti-lock braking system, therefore connecting diverse disciplines of study.
His Fuzzy control system study incorporates themes from Iterative method, Settling time and Electronic speed control. Stefan Preitl has researched Servomechanism in several fields, including Stability and Mechatronics. His Sensitivity study deals with Optimization problem intersecting with Search algorithm.
Stefan Preitl mostly deals with Control theory, Fuzzy control system, Control engineering, Fuzzy logic and Control system. His work in Servomechanism, Control theory, Nonlinear system, PID controller and Sensitivity is related to Control theory. His research investigates the connection with Servomechanism and areas like Optimization problem which intersect with concerns in Search algorithm.
Stefan Preitl combines subjects such as Stability and Transfer function with his study of Fuzzy control system. His work carried out in the field of Control engineering brings together such families of science as Mobile robot and Electronic speed control. His Fuzzy logic research is multidisciplinary, incorporating perspectives in Lyapunov function and Mathematical optimization.
Control theory, Control engineering, Control theory, Nonlinear system and Fuzzy logic are his primary areas of study. Stefan Preitl frequently studies issues relating to Optimization problem and Control theory. His Optimization problem research includes themes of Search algorithm and Sensitivity.
His work on Mechatronics as part of general Control engineering study is frequently linked to Variable, Moment of inertia and Context, therefore connecting diverse disciplines of science. He specializes in Fuzzy logic, namely Takagi sugeno. His Servomechanism research incorporates themes from Particle swarm optimization and Robustness.
His primary scientific interests are in Control theory, Nonlinear system, Control theory, Control engineering and Fuzzy control system. His studies examine the connections between Control theory and genetics, as well as such issues in Optimization problem, with regards to Search algorithm. His Control engineering research is multidisciplinary, incorporating elements of Arm solution, Joystick and Six degrees of freedom.
His Fuzzy control system research is under the purview of Fuzzy logic. His study in the field of Fuzzy set operations is also linked to topics like Set. His research in Servomechanism intersects with topics in Sliding mode control, Variable structure control, Adaptive control and Electronic speed control.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Technical Communique: An extension of tuning relations after symmetrical optimum method for PI and PID controllers
Stefan Preitl;Radu-Emil Precup.
Automatica (1999)
IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Radu-Emil Precup;Sergiu Spataru;Emil M. Petriu;Stefan Preitl.
international conference on advanced intelligent mechatronics (2010)
Design and Experiments for a Class of Fuzzy Controlled Servo Systems
R.-E. Precup;S. Preitl;I.J. Rudas;M.L. Tomescu.
IEEE-ASME Transactions on Mechatronics (2008)
Gravitational search algorithm-based design of fuzzy control systems with a reduced parametric sensitivity
Radu-Codru David;Radu-Emil Precup;Emil M. Petriu;Mircea-Bogdan Rdac.
Information Sciences (2013)
Novel Adaptive Gravitational Search Algorithm for Fuzzy Controlled Servo Systems
Radu-Emil Precup;R. David;E. M. Petriu;S. Preitl.
IEEE Transactions on Industrial Informatics (2012)
Fuzzy logic-based adaptive gravitational search algorithm for optimal tuning of fuzzy-controlled servo systems
Radu-Emil Precup;Radu-Codruţ David;Emil M. Petriu;Stefan Preitl.
Iet Control Theory and Applications (2013)
Fuzzy Control System Performance Enhancement by Iterative Learning Control
R.-E. Precup;S. Preitl;J.K. Tar;M.L. Tomescu.
IEEE Transactions on Industrial Electronics (2008)
Experiment-Based Teaching in Advanced Control Engineering
Radu-Emil Precup;Stefan Preitl;Mircea-Bogdan Radac;Emil M. Petriu.
IEEE Transactions on Education (2011)
Fuzzy Control Systems With Reduced Parametric Sensitivity Based on Simulated Annealing
Radu-Emil Precup;Radu-Codruţ David;E. M. Petriu;S. Preitl.
IEEE Transactions on Industrial Electronics (2012)
Controller Design Solutions for Long Distance Telesurgical Applications
Tamás Haidegger;Levente Kovács;Stefan Preitl;Radu Emil Precup.
International journal of artificial intelligence (2011)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.
If you think any of the details on this page are incorrect, let us know.
Polytechnic University of Timişoara
University of Ottawa
Óbuda University
University of Ljubljana
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: