N. Nahapetian

About

N. Nahapetian is a researcher specializing in intelligent control systems for robotics, with a focus on soft computing techniques for robot manipulator control. Their major contributions lie in advancing PID (Proportional-Integral-Derivative) gain tuning methods by integrating genetic algorithms and fuzzy logic to optimize performance in complex, nonlinear robotic systems. In their seminal 2009 work, "PID Gain Tuning Using Genetic Algorithms and Fuzzy Logic for Robot Manipulator Control" (7 citations), Nahapetian pioneered a hybrid approach where genetic algorithms serve as the primary gain estimator, while fuzzy logic provides a ranking mechanism to refine the tuning process. This work was further extended in "Adaptive PID Gain Tuning Using Fuzzy Logic and Additional External Performance Index Reference for Controlling Robot Manipulator" (4 citations), which introduced adaptive tuning capabilities for systems with unknown internal dynamics. These contributions demonstrate Nahapetian's impact in bridging traditional control theory with computational intelligence, offering practical solutions for real-world robotic applications. Their research remains relevant for engineers and students exploring adaptive control strategies, particularly in scenarios requiring robust performance under uncertainty.

Research Focus

Key Achievements

Top Papers

1. 1
   PID Gain Tuning Using Genetic Algorithms and Fuzzy Logic for Robot Manipulator Control

   7 citations · 2009
2. 2
   Adaptive PID Gain Tuning Using Fuzzy Logic and Additional External Performance Index Reference for Controlling Robot Manipulator

   4 citations · 2009

Key Collaborators

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