Fatiha Nejjari

Universitat Politècnica de Catalunya

Papers

9

Total Citations

218

H-Index

6

About

Fatiha Nejjari is a prominent control systems researcher whose work centers on Linear Parameter-Varying (LPV) systems, fault-tolerant control (FTC), and autonomous robotic systems. She has made substantial contributions to the development of advanced control frameworks that maintain stability and performance in the presence of system faults and uncertainties — a critical challenge in both industrial and robotic applications. Among her most recognized achievements is a fault-hiding approach for switching quasi-LPV fault-tolerant control of four-wheeled omnidirectional mobile robots, which has garnered 109 citations and established her as a leading voice in robust robotic trajectory tracking. This work elegantly transforms nonlinear error dynamics into a polytopic LPV form, enabling systematic controller synthesis using well-established convex optimization techniques. Nejjari's research portfolio also encompasses interval observer design for uncertain LPV systems, adaptive observers for switching LPV architectures, and comparative analyses of passive versus active FTC strategies. Her 2021 contribution on recursive LMI-based vertex reduction further demonstrates her continued pursuit of computationally efficient solutions for polytopic controller design. Across her body of work, Nejjari has consistently bridged theoretical control methodology with practical robotics applications, making her research highly relevant to both academic researchers and engineers developing resilient autonomous systems.

Research Focus

Key Achievements

6
H-Index
9
Papers
218
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
A Fault-Hiding Approach for the Switching Quasi-LPV Fault Tolerant Control of a Four-Wheeled Omnidirectional Mobile Robot
109 citations · 2014
📈 Most Prolific Year: 2014 (6 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Universitat Politècnica de Catalunya

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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