Afef Fekih

University of Louisiana at Lafayette

Papers

11

Total Citations

211

H-Index

7

About

Afef Fekih is a distinguished control systems researcher whose work sits at the intersection of robust control theory, fault-tolerant systems, and intelligent robotics. Her research focuses primarily on advanced control methodologies for robotic manipulators and complex dynamical systems, with particular emphasis on sliding mode control, fault-tolerant control, and fuzzy-neural inference frameworks. Fekih has made significant contributions to addressing real-world engineering challenges, including actuator faults, parametric uncertainties, input saturation, and external disturbances that compromise system stability and performance. Among her most impactful contributions is her active fault-tolerant control scheme for robotic manipulators (2021, 51 citations), which maintains system stability even under faulty actuator conditions. Her optimized fuzzy-enhanced robust control for Stewart parallel robots (2022, 41 citations) and non-singular fast terminal sliding mode work (2020, 38 citations) further demonstrate her ability to bridge theoretical rigor with practical implementation. Her research extends to descriptor systems with time-varying delays and nonholonomic mobile robots, reflecting the breadth of her expertise. With over 200 cumulative citations across a compact, high-quality publication record, Fekih has established herself as a meaningful voice in intelligent and resilient control design, offering researchers and practitioners powerful tools for tackling uncertainty in complex robotic and dynamic systems.

Research Focus

Key Achievements

7
H-Index
11
Papers
211
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Active Fault-Tolerant Control Design for Actuator Fault Mitigation in Robotic Manipulators
51 citations · 2021
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: University of Louisiana at Lafayette

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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