A Fault Detection Approach for Robotic Systems Combining the Data Obtained from Sensor Measurements and Linear Observer-Based Estimations - Archive ouverte HAL Access content directly
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A Fault Detection Approach for Robotic Systems Combining the Data Obtained from Sensor Measurements and Linear Observer-Based Estimations

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Computer Science [cs] Artificial Intelligence [cs.AI] Computer Science [cs] Automatic Control Engineering Computer Science [cs] Databases [cs.DB] Mathematics [math] Mathematics [math] Dynamical Systems [math.DS] Engineering Sciences [physics] Automatic

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https://hal.univ-reims.fr/hal-01736743

Submitted on : Sunday, March 18, 2018-2:50:42 PM

Last modification on : Wednesday, November 3, 2021-7:37:19 AM

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hal-01736743 , version 1 (18-03-2018)

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  • HAL Id : hal-01736743 , version 1

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Rabih Taleb, Rabah Mazouzi, Lynda Seddiki, Cyril de Runz, Kevin Guelton, et al.. A Fault Detection Approach for Robotic Systems Combining the Data Obtained from Sensor Measurements and Linear Observer-Based Estimations. Advances in Knowledge Discovery and Management. Studies in Computational Intelligence, 2018. ⟨hal-01736743⟩

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