Sayan Basu Roy
Papers
5
Total Citations
110
H-Index
3
About
Sayan Basu Roy is a rising leader in nonlinear control theory, with a focus on adaptive sliding mode control and safe constraint satisfaction for Euler-Lagrange systems—the mathematical backbone of robots, quadrotors, and spacecraft. His most influential work, "Overcoming the Underestimation and Overestimation Problems in Adaptive Sliding Mode Control" (2019, 86 citations), directly tackles a critical flaw in conventional adaptive controllers: the tendency for gains to inflate unnecessarily near the sliding surface or decay improperly, leading to chattering or instability. Roy’s solution provides a more robust and efficient framework, making adaptive sliding mode control more reliable for real-world applications. He has also pioneered the use of Barrier Lyapunov Functions to enforce user-defined safety constraints in Euler-Lagrange systems while reducing control effort—a crucial step toward safer autonomous systems. His recent work extends into distributed adaptive estimation and extremum seeking control, eliminating the restrictive need for persistence of excitation—a major theoretical bottleneck. With publications spanning from 2019 to 2024, Roy’s research is rapidly gaining traction, establishing him as a key contributor to modern adaptive and safe control methodologies.
Research Focus
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Top Papers
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