Michel Blain
Papers
8
Total Citations
66
H-Index
5
About
Michel Blain is a robotics and control systems researcher whose work has focused primarily on underwater robotic systems and advanced control methodologies, with a particular emphasis on real-world industrial applications in hydroelectric infrastructure maintenance. Working closely with Hydro-Québec's Research Institute, Blain has made significant contributions to the design and control of submersible grinding robots — specialized systems capable of rehabilitating concrete and steel components in underwater dam structures, a technically demanding challenge with direct implications for long-term infrastructure sustainability. His most influential work, "Discrete-Time State Feedback With Velocity Estimation Using a Dual Observer" (2011, 23 citations), addresses the inherent control challenges posed by direct-drive linear motors, which lack intrinsic stiffness and are vulnerable to external disturbances. Subsequent research expanded this foundation through multiobjective observer-based controller optimization (2014, 12 citations) and hardware-in-the-loop simulation techniques, demonstrating a rigorous progression from theoretical development to experimental validation. His comparative studies of sliding-mode and cascaded controllers further reflect a commitment to practical, performance-driven solutions. Across his body of work, Blain bridges advanced control theory — encompassing impedance control, disturbance observers, and state estimation — with demanding underwater robotics applications, offering meaningful contributions to the fields of force control and autonomous industrial robotics.
Research Focus
Key Achievements
Top Papers
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- 7Sliding-mode control of a direct-drive submersible grinding robot3 citations · 2010
- 8Robotic rectification of underwater structural elements in power dams2 citations · 2010