Majid Moradi Zirkohi
Papers
5
Total Citations
111
H-Index
5
About
Majid Moradi Zirkohi is a leading researcher in intelligent control systems, with a primary focus on the advanced control of robot manipulators. His work masterfully addresses the challenges of uncertainty and nonlinearity in complex electromechanical systems, particularly those driven by permanent magnet synchronous motors (PMSMs) and featuring flexible joints. A cornerstone of his contribution is the innovative application of the orthogonal functions theorem—using Legendre polynomials and Fourier series—to create simple, model-free adaptive controllers. This approach, detailed in his highly cited 2017 paper (27 citations), eliminates the need for complex system dynamics. He has also pioneered the use of adaptive type-2 fuzzy logic systems to estimate and compensate for uncertainties in electrically driven robots, as seen in his 2015 work (15 citations). Notably, his 2013 paper on type-2 fuzzy control for flexible-joint robots has garnered 40 citations, underscoring its impact. Further demonstrating his breadth, Dr. Zirkohi has conducted the first rigorous stability analysis of brain emotional learning-based intelligent controllers (BELBIC) for robot manipulators (2019, 9 citations). His research provides elegant, robust, and computationally efficient solutions for next-generation robotic systems.
Research Focus
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Top Papers
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