A novel distributed Kalman filtering for health state recognition of aero-engine components in networked control systems-Reference-Cited by-同舟云学术

A novel distributed Kalman filtering for health state recognition of aero-engine components in networked control systems

Published:2022-11-02 Issue:3 Volume:111 Page:2571-2589
ISSN:0924-090X
Container-title:Nonlinear Dynamics
language:en
Short-container-title:Nonlinear Dyn

Author:

Jin Peng,Zhou Xin,Wang Chen,Huang Jinquan,Zhou Wenxiang,Lu Feng

Funder

National Natural Science Foundation of China

National Science and Technology Major Project

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Mechanical Engineering,Ocean Engineering,Aerospace Engineering,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11071-022-07950-1.pdf

Reference38 articles.

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3. Zhao, N.B., Li, S.Y., Yang, J.L.: A review on nanofluids: data driven modeling of thermal physical properties and the application in automotive radiator. Renew. Sust. Energy Rev. 66, 596–616 (2016)

4. Du, X., Richter, H., Guo, Y.Q.: Multivariable sliding-mode strategy with output constraints for aeroengine propulsion control. J. Guid. Control Dyn. 39(7), 1631–1642 (2016)

5. Gou, L.F., Shen, Y.W., Zheng, H., et al.: Multi-fault diagnosis of an aero-engine control system using joint sliding mode observers. IEEE Access 8, 10186–10197 (2020)

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