Amine Dehak

Laboratoire d'Automatique, de Mécanique et d'Informatique Industrielles et Humaines

Papers

Total Citations

H-Index

About

Amine Dehak is a control systems researcher whose work focuses on advancing the modeling and control of complex dynamical systems, particularly in robotics and fuzzy logic. His key research areas include Takagi-Sugeno (TS) fuzzy systems, nonlinear control, and disturbance-observer-based tracking control. In his highly cited 2020 paper, Dehak introduced a systematic method to reduce the complexity of TS fuzzy models by exploiting linear dependencies between local submodels, dramatically cutting rule counts from 2^p to p+1 while preserving model equivalence—a breakthrough for real-time applications. His 2019 work on SCARA robot manipulators presents a novel feedback-feedforward control scheme that integrates disturbance observers to handle modeling uncertainties and unknown disturbances, significantly improving tracking performance in industrial settings. Though early in his career, Dehak’s contributions have already garnered attention, with his most-cited papers each receiving 4 citations, reflecting their growing impact in the control engineering community. His work bridges theoretical rigor and practical implementation, offering scalable solutions for robotics and automation.