Papers

7

Total Citations

260

H-Index

5

About

Vasso Reppa is a leading researcher in the fields of fault diagnosis, nonlinear control, and autonomous marine systems. Her major contributions center on developing advanced, adaptive methodologies for detecting and isolating multiple sensor faults in complex, large-scale interconnected nonlinear systems—a critical challenge for safety-critical applications. Her seminal 2013 paper on adaptive approximation for multiple sensor fault detection has garnered 95 citations, while her 2014 work on decentralized isolation for large-scale systems has earned 92 citations, establishing foundational approaches that enhance system reliability without requiring centralized computation. Reppa has also pioneered set-membership identification techniques for robot manipulators and adaptive observers for switching linear parameter-varying systems. More recently, she has expanded into autonomous maritime operations, authoring a notable 2022 review on floating object manipulation by multi-vessel systems. Her work bridges rigorous theoretical analysis with practical implementation, addressing real-world constraints like bounded disturbances and measurement noise. Through optimization-driven observer design and power-aware robotic systems for lunar exploration, Reppa consistently demonstrates how robust fault-tolerant control can enable autonomous operations in uncertain, dynamic environments.

Research Focus

Key Achievements

5
H-Index
7
Papers
260
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive Approximation for Multiple Sensor Fault Detection and Isolation of Nonlinear Uncertain Systems
95 citations · 2013
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: CentraleSupélec, Delft University of Technology, University of Patras, University of Cyprus

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago