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05/08/2023
Analysis of Numerical Integration in RNN-Based Residuals for Fault Diagnosis of Dynamic Systems
Data-driven modeling and machine learning are widely used to model the b...
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06/15/2022
A Unifying Approach to Efficient (Near)-Gathering of Disoriented Robots with Limited Visibility
We consider a swarm of n robots in a d-dimensional Euclidean space. The ...
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10/09/2020
Gathering in Linear Time: A Closed Chain of Disoriented Luminous Robots with Limited Visibility
This work focuses on the following question related to the Gathering pro...
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09/10/2020
Data-Driven Open Set Fault Classification and Fault Size Estimation Using Quantitative Fault Diagnosis Analysis
Data-driven fault classification is complicated by imbalanced training d...
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08/11/2020
Residual Generation Using Physically-Based Grey-Box Recurrent Neural Networks For Engine Fault Diagnosis
Data-driven fault diagnosis is complicated by unknown fault classes and ...
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10/12/2019
Isolation and Localization of Unknown Faults Using Neural Network-Based Residuals
Localization of unknown faults in industrial systems is a difficult task...
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10/25/2017
Competitive Routing in Hybrid Communication Networks
Routing is a challenging problem for wireless ad hoc networks, especiall...
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02/11/2017
