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About

D. Normand‑Cyrot is a leading figure in nonlinear digital control, whose work has fundamentally shaped how we design discrete-time controllers for complex, underactuated systems. Her research centers on the intersection of sampled-data control, passivity-based design, and the control of nonholonomic systems—robots whose motion constraints prevent smooth, continuous feedback stabilization. A major contribution is her pioneering use of **multirate sampling**, where different system variables are updated at different rates, to solve problems that are intractable with standard methods. This approach is showcased in her highly cited work on a hopping robot and a car with a trailer (2002, 15 citations), demonstrating that multirate control can achieve exact steering and path following where continuous laws fail. She further advanced this into a formal framework with **discrete-time energy-balance passivity-based control** (2022, 16 citations), providing a rigorous, energy-inspired method for stabilizing sampled-data dynamics. Her impact is also seen in foundational work on discrete-time robot arm control (1985, 14 citations) and experimental validation on the MARIO car-like robot (2002, 6 citations). By bridging theory and practice, Normand‑Cyrot has provided essential tools for controlling mobile robots, walking machines, and other systems where digital implementation and physical constraints meet.