What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Control engineering
Farzin Piltan focuses on Control theory, Control engineering, Control theory, Nonlinear system and Fuzzy logic.
In his research, Parallel manipulator is intimately related to Robot manipulator, which falls under the overarching field of Control engineering.
The various areas that Farzin Piltan examines in his Control theory study include Computed torque and Trajectory.
His Trajectory research includes themes of Control system and Robot.
His study looks at the relationship between Nonlinear system and topics such as Open-loop controller, which overlap with Dynamical systems theory.
His Fuzzy logic research incorporates themes from Self-tuning, Variable structure control and Backstepping.
His most cited work include:
- PUMA-560 Robot Manipulator Position Sliding Mode Control Methods Using MATLAB/SIMULINK and Their Integration into Graduate/Undergraduate Nonlinear Control, Robotics and MATLAB Courses (88 citations)
- Design of FPGA-based Sliding Mode Controller for Robot Manipulator. (81 citations)
- Design Mathematical Tunable Gain PID-Like Sliding Mode Fuzzy Controller with Minimum Rule base. (80 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Control theory, Fuzzy logic, Control theory, Nonlinear system and Control engineering.
Dynamic problem is closely connected to Robot in his research, which is encompassed under the umbrella topic of Control theory.
His study on Fuzzy control system and Adaptive neuro fuzzy inference system is often connected to Estimator and Position as part of broader study in Fuzzy logic.
His Control theory study which covers Artificial intelligence that intersects with Simulation.
His work on Nonlinear control as part of general Nonlinear system study is frequently linked to Continuum, bridging the gap between disciplines.
His Control engineering research is multidisciplinary, incorporating elements of Control system and Robot manipulator.
He most often published in these fields:
- Control theory (84.07%)
- Fuzzy logic (58.24%)
- Control theory (57.69%)
What were the highlights of his more recent work (between 2016-2021)?
- Control theory (84.07%)
- Observer (7.69%)
- Fuzzy logic (58.24%)
In recent papers he was focusing on the following fields of study:
Control theory, Observer, Fuzzy logic, Nonlinear system and Robot manipulator are his primary areas of study.
His work on Control theory, Feedback linearization and Pi observer as part of general Control theory study is frequently connected to Laguerre polynomials, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
Particularly relevant to PID controller is his body of work in Control theory.
His Observer study also includes fields such as
- Support vector machine that intertwine with fields like Residual,
- Six degrees of freedom which is related to area like Robot and Sliding mode control.
His study in Fuzzy logic is interdisciplinary in nature, drawing from both Real-time computing and Robustness.
His work in Nonlinear system addresses subjects such as Artificial neural network, which are connected to disciplines such as Signal processing and Algorithm.
Between 2016 and 2021, his most popular works were:
- Bearing Fault Diagnosis by a Robust Higher-Order Super-Twisting Sliding Mode Observer. (23 citations)
- Robust Composite High-Order Super-Twisting Sliding Mode Control of Robot Manipulators (16 citations)
- Bearing Fault Diagnosis Using an Extended Variable Structure Feedback Linearization Observer. (15 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Machine learning
Farzin Piltan mostly deals with Control theory, Observer, Nonlinear system, Robot manipulator and Rolling-element bearing.
His works in Control theory and Pi observer are all subjects of inquiry into Control theory.
In general Control theory study, his work on Sliding mode control often relates to the realm of Estimator, thereby connecting several areas of interest.
His work deals with themes such as Six degrees of freedom and Robustness, which intersect with Observer.
His Nonlinear system research incorporates elements of Control engineering and Moving average.
Robot manipulator and Fuzzy logic are frequently intertwined in his study.
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