Subashini Elangovan

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About

Subashini Elangovan is a researcher in robotics and control systems, with a primary focus on adaptive control strategies for complex mechanical systems. Her most significant contributions center on the development of adaptive fuzzy sliding control (AFSC) schemes for passive robotic manipulators, particularly three-link systems. Her work addresses a critical challenge in conventional sliding control: the elimination of chattering—a high-frequency oscillation that can degrade performance—and the removal of the need for prior knowledge of error bounds. By integrating fuzzy logic with adaptive sliding control, she has proposed a more robust and practical solution for controlling underactuated or passive robots, which are essential in applications requiring energy efficiency and safety. Her most-cited paper from 2005 has garnered 13 citations, with an earlier version from 2004 receiving 6 citations, reflecting steady interest in her methodological innovations. While her publication record is focused, her work has contributed to the broader field of intelligent control, offering a template for combining adaptive and fuzzy techniques to enhance the stability and precision of robotic manipulators. Her research remains relevant for engineers and students exploring advanced control in robotics.