Jalal Soulami
Papers
3
Total Citations
15
H-Index
2
About
Jalal Soulami 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 simultaneously estimating system states and detecting faults—including actuator and sensor faults—in complex, discrete-time nonlinear models. Soulami’s most-cited paper (2021, 11 citations) introduces a novel state and fault observer for T-S implicit models with Lipschitz constraints and unmeasurable premise variables, offering a robust solution for real-time monitoring. His earlier contributions (2018–2019) extend this framework to descriptor models and unknown input observers, enabling reliable estimation even when system inputs are partially unknown. Though his citation counts are modest, Soulami’s work is technically rigorous and fills an important niche in fault-tolerant control, with potential applications in aerospace, automotive, and industrial automation. His research is particularly valuable for students and engineers seeking to understand observer design for nonlinear, constrained systems.
Research Focus
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Top Papers
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