El Hassane El Yaagoubi
Papers
3
Total Citations
15
H-Index
2
About
El Hassane El Yaagoubi is a researcher specializing in advanced control theory and fault diagnosis for nonlinear systems, with a particular focus on Takagi-Sugeno (T-S) fuzzy models and descriptor systems. His work addresses critical challenges in simultaneous state and fault estimation, especially for complex systems with unmeasurable premise variables and Lipschitz constraints. In his most cited paper (2021, 11 citations), he developed a novel observer design for T-S implicit models that can jointly estimate actuator and sensor faults—a significant contribution to fault-tolerant control. His earlier work (2019, 2 citations) extended these methods to discrete-time T-S descriptor models, while his 2018 study tackled unknown input estimation for nonlinear descriptor systems. Although his citation counts are modest, El Yaagoubi’s research is technically rigorous and addresses foundational problems in observer design for nonlinear and descriptor systems. His work is particularly relevant for applications in aerospace, automotive, and industrial process control, where reliable fault estimation is critical for system safety and performance.
Research Focus
Key Achievements
Top Papers
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