Mahdi Jalili-Kharaajoo

University of Tehran, Islamic Azad University, Tehran

Papers

Total Citations

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About

Mahdi Jalili-Kharaajoo is a researcher whose work centers on advanced control systems, with a particular focus on intelligent control methodologies applied to robotic systems. His most notable contributions lie at the intersection of fuzzy logic, sliding mode control, and evolutionary computation, areas he explored through pioneering efforts in the early 2000s. His most cited work, "Application of Fuzzy Sliding Mode Based on Genetic Algorithms to Control of Robotic Manipulators" (2004), introduced an innovative framework that eliminates the need for an optimal design criterion by formulating fuzzy sliding mode controller design as an optimization problem solved through genetic algorithms — a significant conceptual advance in robust control design. This work, alongside its companion study on the same theme, has garnered a combined 18 citations, reflecting meaningful influence within the specialized community of robotics and intelligent control. He has also contributed to nonlinear control theory through his research on H∞ state feedback control for rigid robot manipulators, demonstrating breadth across both classical and modern control paradigms. His research collectively advances the reliability and adaptability of control systems for complex nonlinear robotic applications.