M. Attari

University of Sciences and Technology Houari Boumediene

Papers

Total Citations

H-Index

About

M. Attari’s research centers on the control of flexible mechanical systems, with a particular emphasis on adaptive and neural network-based strategies for robotic manipulators. In his most-cited work, “Adaptive neural control of a rotating flexible manipulator” (2008), Attari addresses the challenging problem of simultaneously regulating joint motion and suppressing tip deflection in a planar flexible arm. By deriving the system dynamics using Lagrange’s formulation, he proposes a novel control architecture that integrates neural networks to adaptively manage the complex, nonlinear behavior of the flexible structure. This contribution is significant for advancing the precision and reliability of lightweight, flexible robots used in manufacturing and aerospace applications. Although his citation count is modest, with this key paper garnering 6 citations, Attari’s work represents a focused effort to bridge theoretical control design with practical implementation in flexible robotics. His approach offers a foundation for further research into intelligent control systems capable of handling the inherent compliance and vibration challenges in modern robotic arms.