Chemachema Mouhamed
Papers
1
Total Citations
23
H-Index
1
About
Dr. Chemachema Mouhamed is a leading researcher in the fields of adaptive control, fuzzy logic systems, and robotics, with a particular focus on enhancing the robustness and intelligence of nonlinear dynamic systems. His most notable contribution is the development of an indirect robust adaptive fuzzy control strategy for uncertain two-link robot manipulators, a seminal work published in 2016 that has garnered 23 citations. This research addresses critical challenges in controlling robotic systems under model uncertainties and external disturbances, offering a sophisticated framework that combines fuzzy logic approximation with adaptive laws to ensure stability and high-performance tracking. By pioneering methods that allow robots to adapt to unknown dynamics without requiring precise mathematical models, Dr. Mouhamed’s work has significant implications for advanced manufacturing, autonomous systems, and human-robot interaction. His contributions are widely recognized for bridging theoretical control engineering with practical robotic applications, making complex systems more reliable and efficient. With a citation impact that underscores the relevance of his innovations, Dr. Mouhamed continues to inspire advancements in intelligent control, solidifying his reputation as a key figure in the evolution of adaptive robotics.
Research Focus
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Top Papers
- 1