Papers
2
Total Citations
9
H-Index
2
About
Benyamine Allouche is a researcher at the forefront of advanced robotics and intelligent control systems. His work primarily focuses on the modeling and robust control of complex mechanical systems, with key contributions to the stabilization of two-wheeled self-balanced transporters and the control of planar parallel robots. Allouche’s most cited paper, “Robust control of two-wheeled self-balanced transporter on sloping ground: A Takagi-Sugeno descriptor approach” (2013, 6 citations), addresses a critical challenge in autonomous urban mobility: designing a compact, agile transporter capable of navigating narrow spaces and uneven terrain. By employing a Takagi-Sugeno fuzzy descriptor approach, he developed a robust control strategy that enhances stability on sloping ground, directly impacting the development of intelligent vehicles. His subsequent work, “Modeling and PDC fuzzy control of planar parallel robot” (2017, 3 citations), tackles the inherent complexity of model-based control for parallel mechanisms, offering a streamlined fuzzy control solution that circumvents traditional kinematic and dynamic hurdles. These contributions demonstrate Allouche’s skill in bridging theoretical control theory with practical robotic applications, making his research valuable for engineers and students working on autonomous systems and advanced robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Modeling and PDC fuzzy control of planar parallel robot3 citations · 2017