N. Nariman-zadeh
Papers
6
Total Citations
44
H-Index
4
About
N. Nariman-zadeh is a leading researcher in intelligent control systems, specializing in the integration of evolutionary algorithms with advanced robotics and fuzzy logic. His most influential work, "Genetic design of computed torque/fuzzy-logic controllers for robotic manipulators" (2002, 18 citations), pioneered a new class of controllers that combine computed torque methods with fuzzy logic, optimized through genetic algorithms. This groundbreaking approach demonstrated superior robustness compared to traditional computed-torque/PID controllers. Building on this foundation, Nariman-zadeh has made significant contributions to fuzzy sliding mode control strategies and GMDH-type neural networks for robotic applications. His research extends to bipedal locomotion, notably exploring limit cycle walking and push recovery using receding horizon control schemes. Through his work on genetic rule induction and ANFIS-based identification of robotic parameters, he has established a comprehensive framework for designing robust, adaptive control systems. His research, spanning from 2002 to 2012, has accumulated over 44 citations, reflecting its enduring impact on the fields of robotics, intelligent control, and evolutionary computation.
Research Focus
Key Achievements
Top Papers
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- 6Identification of the dynamical parameters of a 2-R robot using ANFIS2 citations · 2006