Fangzhou Fu

Orcid: 0000-0001-7814-028X

According to our database1, Fangzhou Fu authored at least 15 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A data-driven configurability evaluation method for spacecraft control systems.
Math. Found. Comput., 2024

2023
Onboard Observation Planning for Sequential Image-Based Planetary Landing Navigation in Unknown Environments.
IEEE Trans. Aerosp. Electron. Syst., October, 2023

Artificial-Intelligence-Based Quantitative Fault Diagnosability Analysis of Spacecraft: An Information Geometry Perspective.
IEEE Trans. Artif. Intell., 2023

Replay Attack Detection Based on Parity Space Method for Cyber-Physical Systems.
CoRR, 2023

2022
Fault Diagnosability Evaluation for Markov Jump Systems With Multiple Time Delays.
IEEE Trans. Syst. Man Cybern. Syst., 2022

A Fault Diagnosability Evaluation Method for Dynamic Systems Without Distribution Knowledge.
IEEE Trans. Cybern., 2022

Analytical Nonlinear Observability Analysis for Spacecraft Autonomous Relative Navigation.
IEEE Trans. Aerosp. Electron. Syst., 2022

A Reconfiguration-Based Fault-Tolerant Control Method for Nonlinear Uncertain Systems.
IEEE Trans. Autom. Control., 2022

Overall fault diagnosability evaluation for dynamic systems: A quantitative-qualitative approach.
Autom., 2022

2021
Fault Diagnosability Analysis of Two-Dimensional Linear Discrete Systems.
IEEE Trans. Autom. Control., 2021

2020
Data-driven fault identifiability analysis for discrete-time dynamic systems.
Int. J. Syst. Sci., 2020

A review of the diagnosability of control systems with applications to spacecraft.
Annu. Rev. Control., 2020

2019
Fault Identifiability Analysis of Linear Discrete Time-Varying Systems.
IEEE Trans. Circuits Syst. I Regul. Pap., 2019

2018
Evaluation of fault diagnosability for networked control systems subject to missing measurements.
J. Frankl. Inst., 2018

Evaluation of Fault Diagnosability for Dynamic Systems With Unknown Uncertainties.
IEEE Access, 2018


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