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Fault diagnosis is one of the most challenging problems, which have to be solved if one considers real-life applications of mobile robots. In this paper, we present a particle filtering-based approach combined with the negative log-likelihood test to address the fault detection task. The major disadvantage of the method is its high computational burden closely related to the number of particles used,...
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