Papers
12
Total Citations
158
H-Index
6
About
Michel Dambrine is a control systems researcher whose work sits at the intersection of robotics, fuzzy logic, and robust control theory. His research has made significant contributions to the control of mobile robots and manipulators, particularly addressing real-world challenges such as measurement delays, nonholonomic constraints, and modeling uncertainties. Dambrine is perhaps best known for his pioneering application of Parallel Distributed Compensation (PDC) and Takagi-Sugeno (TS) fuzzy frameworks to mobile robot control, with his 2010 paper on PDC control for non-holonomic wheeled mobile robots accumulating 52 citations. His follow-up work on output feedback control using nonlinear predictors to handle delayed sensor measurements, including camera-based systems, has proven especially valuable for practical robotics implementations. Beyond mobile platforms, he has extended these methods to serial and SCARA robot manipulators, developing descriptor fuzzy approaches that offer guaranteed performance bounds and reduced computational complexity — a recurring theme across his recent publications. His work on online obstacle avoidance using Bézier curves and two-wheeled self-balanced transporters further demonstrates the breadth of his applied contributions. With a body of work spanning over a decade and consistently cited across the robotics and control communities, Dambrine represents a rigorous and practically-minded voice in intelligent control system design.
Research Focus
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Top Papers
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- 9Reduced-Complexity Affine Representation for Takagi-Sugeno Fuzzy Systems4 citations · 2020
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