What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Physics
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.
His most cited work include:
- Technical Communique: An extension of tuning relations after symmetrical optimum method for PI and PID controllers (201 citations)
- Gravitational search algorithm-based design of fuzzy control systems with a reduced parametric sensitivity (106 citations)
- IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM (101 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Control theory (83.05%)
- Fuzzy control system (51.69%)
- Control engineering (48.31%)
What were the highlights of his more recent work (between 2013-2020)?
- Control theory (83.05%)
- Control engineering (48.31%)
- Control theory (25.85%)
In recent papers he was focusing on the following fields of study:
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.
Between 2013 and 2020, his most popular works were:
- Novel Adaptive Charged System Search algorithm for optimal tuning of fuzzy controllers (61 citations)
- Iterative Data-Driven Tuning of Controllers for Nonlinear Systems With Constraints (56 citations)
- Online identification of evolving Takagi-Sugeno-Kang fuzzy models for crane systems (53 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Physics
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.
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