Adaptive Particle Filtering for Fault Detection in Partially-Observed Boolean Dynamical Systems-Reference-Cited by-同舟云学术

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Adaptive Particle Filtering for Fault Detection in Partially-Observed Boolean Dynamical Systems

Published:2019 Issue: Volume: Page:1-1
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Bahadorinejad Arghavan,Imani Mahdi,Braga-Neto Ulisses

Funder

Division of Computing and Communication Foundations

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/4359833/08528885.pdf?arnumber=8528885

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identification of edge removal fault in Boolean networks and disjunctive Boolean networks;Journal of the Franklin Institute;2024-04

2. Controllability and observability of Boolean control networks subject to stuck-at fault;Nonlinear Analysis: Hybrid Systems;2024-02

3. Improving Particle Filter with Better Proposal Distribution base on selection resampling^*;2023 IEEE 11th Joint International Information Technology and Artificial Intelligence Conference (ITAIC);2023-12-08

4. A new reconstruction-based method using local Mahalanobis distance for incipient fault isolation and amplitude estimation;Mechanical Systems and Signal Processing;2023-12

5. Fault Detectability of Asynchronous Switched Boolean Networks: A Set Reachability Approach;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2023-11

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