Radu-Emil Precup mainly focuses on Control theory, Fuzzy logic, Fuzzy control system, Servomechanism and Optimization problem. Radu-Emil Precup regularly ties together related areas like Fuzzy number in his Control theory studies. The concepts of his Fuzzy logic study are interwoven with issues in Stability, Lyapunov function and Mathematical optimization.
His biological study spans a wide range of topics, including Variable, Iterative method, Settling time and Adaptive control. His Servomechanism research includes elements of Mechatronics, Optimal control and Sensitivity. His Optimization problem course of study focuses on Search algorithm and Fitness function and Constrained optimization.
Radu-Emil Precup mostly deals with Control theory, Fuzzy logic, Fuzzy control system, Control engineering and Control system. Radu-Emil Precup combines topics linked to Optimization problem with his work on Control theory. His Fuzzy logic research includes themes of Lyapunov function and Mathematical optimization.
Radu-Emil Precup has included themes like Stability, Transfer function, Fuzzy number and Sensitivity in his Fuzzy control system study. His Control engineering research is multidisciplinary, incorporating perspectives in Actuator and Electronic speed control. His research on Control system also deals with topics like
Radu-Emil Precup spends much of his time researching Control theory, Fuzzy logic, Control theory, Control system and Nonlinear system. His Control theory research incorporates elements of Control, Process and Tensor product. A large part of his Fuzzy logic studies is devoted to Fuzzy control system.
The Control theory study combines topics in areas such as Linear system and Mobile robot. In his research on the topic of Control system, Artificial neural network is strongly related with Process control. His Nonlinear system research focuses on Metaheuristic and how it connects with Adaptive control.
The scientist’s investigation covers issues in Control theory, Nonlinear system, Fuzzy logic, Control theory and Fuzzy control system. His work in the fields of Control theory, such as Control system, Linear system and Sliding mode control, intersects with other areas such as Electromagnetics. His work in the fields of Nonlinear system, such as Active disturbance rejection control, overlaps with other areas such as Physics.
His research integrates issues of Optimization problem and Adaptive control in his study of Fuzzy logic. His work deals with themes such as Process control, Mathematical optimization, Robot, Trajectory and Nonholonomic system, which intersect with Control theory. His Fuzzy control system research integrates issues from Networked control system, Temperature control, Latency and Signal processing.
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.
Survey paper: A survey on industrial applications of fuzzy control
Radu-Emil Precup;Hans Hellendoorn.
Computers in Industry (2011)
Technical Communique: An extension of tuning relations after symmetrical optimum method for PI and PID controllers
Stefan Preitl;Radu-Emil Precup.
Grey Wolf Optimizer Algorithm-Based Tuning of Fuzzy Control Systems With Reduced Parametric Sensitivity
Radu-Emil Precup;Radu-Codrut David;Emil M. Petriu.
IEEE Transactions on Industrial Electronics (2017)
An overview on fault diagnosis and nature-inspired optimal control of industrial process applications
Radu-Emil Precup;Plamen Angelov;Bruno Sielly Jales Costa;Moamar Sayed-Mouchaweh.
Computers in Industry (2015)
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)
Model-free sliding mode control of nonlinear systems
Radu-Emil Precup;Mircea-Bogdan Radac;Raul-Cristian Roman;Emil M. Petriu.
Information Sciences (2017)
Nature-inspired optimal tuning of input membership functions of Takagi-Sugeno-Kang fuzzy models for Anti-lock Braking Systems
Radu-Emil Precup;Marius-Csaba Sabau;Emil M. Petriu.
soft computing (2015)
If you think any of the details on this page are incorrect, let us know.
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: