Salah Salhi

Tunis University

Papers

2

Total Citations

7

H-Index

2

About

Salah Salhi is a researcher whose work sits at the intersection of advanced control theory, robotics, and signal processing. His primary focus is on developing robust, real-time estimation and control strategies for complex mechanical systems, with a particular emphasis on flexible structures and vibration analysis. A key contribution is his work on a fast online estimator for identifying the main vibration mode of mechanisms from biased, slightly damped signals. This approach, which leverages an algebraic identification framework to filter out sensor offset, offers a computationally efficient solution for real-time monitoring and control, a significant advantage in practical applications. Salhi has also made notable strides in the control of flexible link robots, exploring the use of optimal fractional-order control to manage disturbances and payload variations. By comparing integer-order and fractional-order models within a Linear Quadratic Regulator (LQR) framework, his 2025 study provides a novel pathway for enhancing the performance and robustness of these lightweight, high-speed manipulators. Though his most cited paper currently holds 5 citations, the practical relevance of his work to vibration suppression and flexible robotics points to a growing impact in the field.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A Fast Online Estimator of the Main Vibration Mode of Mechanisms from a Biased Slightly Damped Signal
5 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Tunis University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago