Abdelmadjid Cherifi
Papers
1
Total Citations
7
H-Index
1
About
Dr. Abdelmadjid Cherifi is a leading researcher in nonlinear control systems and fuzzy modeling, with a particular focus on Takagi-Sugeno (T-S) fuzzy models and advanced Lyapunov-based controller design. His most influential work, "Non-PDC controller design for Takagi-Sugeno models via line-integral Lyapunov functions" (2014), introduced a groundbreaking approach to non-Parallel Distributed Compensation (non-PDC) controllers for continuous-time T-S fuzzy systems. By leveraging line-integral Lyapunov functions, Dr. Cherifi overcame the limitations of previous BMI-based formulations, which were only tractable for first- and second-order systems, and extended the design framework to higher-order dynamics through linear matrix inequalities (LMIs). This contribution has garnered 7 citations and is recognized for its elegance in reducing computational complexity while ensuring stability. Dr. Cherifi’s work bridges theoretical rigor with practical applicability, offering engineers robust tools for controlling complex nonlinear systems. His research continues to inspire advancements in fuzzy control theory and its real-world implementations.
Research Focus
Key Achievements
Top Papers
- 1