Papers

7

Total Citations

63

H-Index

3

About

Latifa Boutat-Baddas is a control systems researcher whose work sits at the intersection of robust control theory, observer design, and robotic applications. Her research primarily focuses on H∞ control and filtering methodologies, nonlinear observer design, and the application of advanced control frameworks to complex mechanical systems, particularly robotic manipulators. Among her most significant contributions is her development of H∞ filtering strategies for singular bilinear systems, with demonstrated application to flexible-joint robots — her most cited work, accumulating 23 citations. She has also made notable advances in dynamic observer design for nonlinear systems subject to unknown inputs and disturbances, combining Lipschitz nonlinearity frameworks with H∞ performance criteria to produce robust estimation techniques, earning 18 citations. A recurring theme throughout her career is the application of Linear Parameter Varying (LPV) and polytopic approaches to robotic control, particularly the SCARA robot, for which she has developed both state-feedback controllers and sliding mode observers. More recently, she has extended her interests to cable-suspended robotic platforms, addressing the challenging problem of payload oscillation during motion. Her body of work reflects a sustained commitment to bridging theoretical control design with practical engineering challenges in robotics.

Research Focus

Key Achievements

3
H-Index
7
Papers
63
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
H ∞ filtering for singular bilinear systems with application to a single-link flexible-joint robot
23 citations · 2014
📈 Most Prolific Year: 2006 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Université de Lorraine, Centre National de la Recherche Scientifique, Centre de Recherche en Automatique de Nancy

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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