Papers
8
Total Citations
105
H-Index
5
About
Mustapha Ouladsine is a researcher specializing in fault detection and diagnosis, fault-tolerant control, and autonomous mobile robotics — areas where his work bridges advanced control theory with practical robotic systems. His most influential contribution, garnering 54 citations, introduces an integrated state and fault estimation framework for switched Takagi-Sugeno fuzzy systems, simultaneously addressing sensor faults, actuator faults, and external disturbances through a sophisticated switched fuzzy observer design. This work represents a significant theoretical advancement in intelligent fault-tolerant control. Beyond theoretical contributions, Ouladsine has made substantial practical impact through his sustained focus on wheeled mobile robots, particularly four-mecanum wheeled platforms. His research tackles the challenging problem of distinguishing between sensor and actuator faults — a notoriously difficult diagnostic problem — using model-based methods, hardware redundancy, and unknown input observer approaches. His work extends further into fault accommodation and trajectory reconfiguration, ensuring robots can maintain performance and minimize operational delays even under faulty conditions or unexpected obstacles. With publications spanning from 2018 to 2022 and accumulating nearly 100 citations across his documented works, Ouladsine has established himself as a consistent contributor to robust robotics and control systems, offering solutions with direct applicability to industrial automation and autonomous transportation tasks.
Research Focus
Key Achievements
Top Papers
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- 4Mobile Robot Additive Fault Diagnosis and Accommodation8 citations · 2019
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