Papers
12
Total Citations
275
H-Index
9
About
R. Sakthivel is a leading figure in advanced control theory, whose work masterfully bridges the gap between complex mathematical frameworks and real-world engineering challenges. His primary research focuses on the robust control and state estimation of complex dynamical systems, particularly Markovian jump systems and fuzzy systems, which are critical for modeling processes subject to sudden changes or uncertainties. A key contribution is his pioneering work on reliable and non-fragile controller designs, ensuring system stability even when the controller itself has imperfections. His highly cited 2019 paper on fuzzy Markov jump systems (52 citations) exemplifies this. Sakthivel has also made significant strides in robotics, notably with his 2007 paper on a Neural Network-aided Extended Kalman Filter for SLAM (41 citations), which addressed the critical problem of filter divergence in noisy environments. His work on robust tracking control for time-delay systems (36 citations) and finite-time control for fractional-order systems further demonstrates his breadth. With a portfolio of papers consistently garnering dozens of citations, Sakthivel’s research provides essential tools for designing resilient, high-performance control systems in fields from robotics to industrial automation.
Research Focus
Key Achievements
Top Papers
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- 3Neural Network-Aided Extended Kalman Filter for SLAM Problem41 citations · 2007
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- 8Anti‐disturbance resilient tracking control for semi‐Markov jumping systems15 citations · 2022
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