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 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.
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
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.
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.
PUMA-560 Robot Manipulator Position Sliding Mode Control Methods Using MATLAB/SIMULINK and Their Integration into Graduate/Undergraduate Nonlinear Control, Robotics and MATLAB Courses
Farzin Piltan;Sara Emamzadeh;Zahra Hivand;Forouzan Shahriyari.
Design of FPGA-based Sliding Mode Controller for Robot Manipulator.
Nasri Sulaiman;Mohammad Hamiruce Marhaban;Farzin Piltan;Adel Nowzary.
Design Mathematical Tunable Gain PID-Like Sliding Mode Fuzzy Controller with Minimum Rule base.
Nasri Sulaiman;Farzin Piltan.
Design Artificial Nonlinear Robust Controller Based on CTLC and FSMC With Tunable Gain.
Farzin Piltan;N. Sulaiman;Putra Malaysia;Zahra Tajpaykar.
An Adaptive sliding surface slope adjustment in PD Sliding Mode Fuzzy Control for Robot Manipulator
Farzin Piltan;Nasri Sulaiman;Samira Soltani;M. H. Marhaban.
Artificial Control of PUMA Robot Manipulator: A-Review of Fuzzy Inference Engine And Application to Classical Controller.
Nasri Sulaiman;Farzin Piltan;Sh. Tayebe Haghighi;Iman Nazari.
Design artificial robust control of second order system based on adaptive fuzzy gain scheduling
Farzin Piltan;Alireza Salehi;Nasri Sulaiman.
Design Model-free Fuzzy Sliding Mode Control: Applied to Internal Combustion Engine
Farzin Piltan;N. Sulaiman;I. Assadi Talooki;Payman Ferdosali.
Design Robust Backstepping on-line Tuning Feedback Linearization Control Applied to IC Engine
Farzin Piltan;Hossein Rezaie;Bamdad Boroomand;Arman Jahed.
Methodology of FPGA-Based Mathematical Error-Based Tuning Sliding Mode Controller
Farzin Piltan;Iman Nazari;Sobhan Siamak;Payman Ferdosali.
Profile was last updated on December 6th, 2021.
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