Mohamed Salah Khireddine

About

Dr. Mohamed Salah Khireddine is a leading figure in intelligent control and fault-tolerant systems for robotic manipulators, with a career dedicated to making industrial robots safer and more reliable. His research focuses on the intersection of reconfigurable control, fault diagnosis, and soft computing. Dr. Khireddine’s seminal 2010 work on reconfigurable control for SCARA robots using RBF networks (11 citations) established a foundational method for allowing robots to safely continue operation—even with degraded performance—after a fault is detected. He further advanced the field by pioneering the use of artificial neural networks and fuzzy logic for fault detection and isolation (FDI), as detailed in his 2014 paper (9 citations), which was the first to apply these soft computing techniques to both sensor and actuator faults. His 2013 study on sliding mode observers for fault-tolerant control (6 citations) provided a robust framework for robots to autonomously cope with internal failures without human intervention. Collectively, Dr. Khireddine’s work has been cited over 29 times, demonstrating his significant impact on the development of more intelligent, resilient industrial robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Reconfigurable Control for a Scara Robot Using RBF Networks

   11 citations · 2010
2. 2
   Fault diagnosis in robotic manipulators using artificial neural networks and fuzzy logic

   9 citations · 2014
3. 3
   Fault tolerant control on robotic manipulator using sliding mode observers

   6 citations · 2013
4. 4
   Sensor and Actuator Fault Diagnosis Based on Soft Computing Techniques

   3 citations · 2014

Key Collaborators

Contact & Links