Wissem Boussetta
Papers
1
Total Citations
4
H-Index
1
About
Wissem Boussetta is a control systems researcher whose work focuses on advanced strategies for robotic manipulators, particularly redundant systems. His key research areas include nonlinear control, auto-tuning PID methods, and model-free control techniques such as the ultra-local model approach. In his most-cited work, Boussetta developed and compared an auto-tuning PID controller with an ultra-local model control strategy for a redundant manipulator robot carrying a load at its endpoint. By dynamically modeling the system using both finite element and Euler-Lagrange approaches, he demonstrated the effectiveness of model-free control in handling complex, multi-input robotic systems. This contribution has garnered attention in the field, with his paper receiving 4 citations. Boussetta’s work is notable for bridging classical control theory with modern, data-driven techniques, offering practical solutions for improving the precision and adaptability of robotic arms in industrial and research settings. His research continues to influence the development of robust control architectures for nonlinear, redundant manipulators.
Research Focus
Key Achievements
Top Papers
- 1