Papers
87
Total Citations
2,841
H-Index
36
About
Farzin Piltan is a prolific researcher whose work sits at the intersection of robotics, nonlinear control theory, and intelligent systems. His research has primarily focused on the design and implementation of advanced control methodologies for robot manipulators, particularly the PUMA-560 platform, with deep expertise in sliding mode control (SMC), computed torque control, fuzzy logic systems, and FPGA-based implementations. Piltan has made substantial contributions to making complex nonlinear controllers more robust and practically deployable, developing innovative hybrid approaches such as fuzzy-sliding mode controllers with tunable gain, adaptive fuzzy gain scheduling, and high-order super-twisting sliding mode architectures. His work is distinguished by its educational dimension — several of his most influential papers explicitly integrate simulation-based methods using MATLAB/SIMULINK into graduate and undergraduate curricula, bridging theoretical rigor with classroom accessibility. With his top ten papers alone accumulating over 770 citations, his impact on the robotics and control engineering communities is considerable. His 2018 contribution on composite super-twisting sliding mode control demonstrates a sustained commitment to advancing the field over nearly a decade, cementing his standing as a leading voice in intelligent robust control for complex nonlinear robotic systems.
Research Focus
Key Achievements
Top Papers
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- 4Design of FPGA-based Sliding Mode Controller for Robot Manipulator.81 citations · 2011
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- 9Methodology of Mathematical Error-Based Tuning Sliding Mode Controller63 citations · 2012
- 10Design Baseline Computed Torque Controller60 citations · 2012