Malick Fall

École Nationale Supérieure d'Ingénieurs de Caen

Papers

Total Citations

111

H-Index

About

Malick Fall is a leading figure in nonlinear control theory and observer design, with a particular focus on systems where continuous-time dynamics must be estimated from discrete, non-uniformly sampled measurements. His most influential work, the 2013 technical note "Continuous-Discrete Time Observers for a Class of MIMO Nonlinear Systems," has garnered over 110 citations and stands as a cornerstone reference in the field. In this seminal paper, Fall introduced a novel observer architecture that operates in continuous time while incorporating output error corrections that are updated only at discrete sampling instants—a critical innovation for real-world applications where sensor data arrives irregularly. This mixed continuous-discrete framework elegantly bridges the gap between theoretical continuous-time models and practical digital implementation, enabling more accurate state estimation for complex multi-input, multi-output (MIMO) nonlinear systems. Fall’s contributions have proven essential for engineers working on advanced control systems, robotics, and autonomous vehicles, where reliable state estimation under non-ideal sampling conditions is paramount. His work continues to inspire new generations of researchers tackling the challenges of observer design in hybrid dynamical systems.