Papers
10
Total Citations
60
H-Index
4
About
Belkacem Ould Bouamama is a leading researcher in the fields of mechatronics, robotics, and fault-tolerant control systems. His work centers on the innovative use of bond graph modeling—a powerful tool for representing energy exchange in dynamic systems—to enhance the reliability and autonomy of complex mechatronic and robotic platforms. A major contribution is his development of robust fault detection and isolation (FDI) methods, where he has extended bond graph causality inversion and augmented analytical redundancy relations to improve diagnostic precision (papers with 9 citations each). He has also pioneered the use of energy activity as a parameter for prognosis and health management, a critical advancement for autonomous systems requiring continuous, unsupervised operation (2 citations). In robotics, Bouamama has advanced motion control by combining type-2 fuzzy logic with omnidirectional platforms to handle high levels of uncertainty (10 citations) and developed overwhelming controllers for parallel manipulators that ensure robustness against disturbances (17 citations). His recent work integrates uncertain bicausal bond graphs with adaptive fuzzy PID controllers for fault-tolerant control (2 citations), further solidifying his impact on creating safer, more resilient autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Force control in a parallel manipulator through virtual foundations17 citations · 2012
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- 4Augmented analytical redundancy relations to improve the fault isolation9 citations · 2018
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- 6Dynamic Modeling of Cooperative Planar Bionic Manipulator3 citations · 2018
- 7Workspace Evaluation of Robotino-XT Under Reconfiguration2 citations · 2021
- 8UIO approach for estimation of nonlinear components behavior2 citations · 2014
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