Anis Sellami
Papers
7
Total Citations
135
H-Index
5
About
Anis Sellami is a control systems researcher whose work centers on robust control theory, fault detection and diagnosis, and fault-tolerant control for nonlinear systems. His research addresses some of the most challenging problems in modern control engineering, particularly the design of reliable control strategies for uncertain and faulty dynamical systems. Sellami's most influential contribution is his 2012 paper on robust H∞ sliding mode observer design for fault estimation in uncertain nonlinear systems, which has garnered 66 citations and established him as a notable voice in observer-based fault diagnosis. His subsequent work has consistently advanced sliding mode control methodologies, including a notable 2018 study combining integral sliding mode control with optimal feedback control to handle both matched and unmatched uncertainties — a technically demanding problem with significant practical implications. Beyond fault estimation, Sellami has made meaningful contributions to fault-tolerant control design, including adaptive approaches leveraging Takagi–Sugeno fuzzy representations to address multiplicative faults, and robust strategies for systems violating classical matching and minimum phase conditions. His 2013 work on modeling and controlling a 6-DOF parallel manipulator further demonstrates the breadth of his applied expertise. Collectively, his portfolio reflects a sustained commitment to making control systems safer and more resilient in real-world engineering environments.
Research Focus
Key Achievements
Top Papers
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- 5Modeling and control for a 6-DOF platform manipulator7 citations · 2013
- 6Sliding Mode Control of Class of Linear Uncertain Saturated Systems5 citations · 2014
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