Mohamed Nabil Houam

University of Sciences and Technology Houari Boumediene

Papers

Total Citations

H-Index

About

Mohamed Nabil Houam is a researcher specializing in mobile robotics, control systems, and intelligent automation, with a particular focus on nonholonomic systems. His most-cited work, "Neurofuzzy / Sliding Mode controller for nonholonomic mobile robot" (2011), introduces a hybrid control approach that combines neurofuzzy logic with sliding mode techniques to enhance the stability and precision of mobile robot navigation. This contribution addresses key challenges in trajectory tracking and robustness under uncertain conditions, offering a practical solution for industrial automation and production optimization. With 2 citations, this foundational paper has informed subsequent studies in adaptive and intelligent control. Houam’s research reflects a commitment to bridging theoretical control methods with real-world applications, particularly in securing and optimizing manufacturing processes. His work is valuable for students and researchers exploring advanced control strategies for autonomous systems, highlighting the synergy between soft computing and robust control in dynamic environments.