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Adaptive Exponential Fault Estimation for 1-D Linear Parabolic PDEs With Process Uncertainties

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成果类型:
期刊论文
作者:
Yuan, Yuan;Xu, Xiaodong;Yang, Chunhua;Huang, Tingwen;Dubljevic, Stevan
通讯作者:
Xu, XD
作者机构:
[Yuan, Yuan] Changsha Univ Sci & Technol, Sch Elect & Informat Engn, Changsha 410205, Peoples R China.
[Yuan, Yuan; Dubljevic, Stevan; Xu, Xiaodong] Univ Alberta, Dept Chem & Mat Engn, Edmonton, AB T6G 2R3, Canada.
[Xu, Xiaodong; Yang, Chunhua] Cent South Univ, Sch Automat, Changsha 410017, Peoples R China.
[Huang, Tingwen] Texas A&M Univ Qatar, Dept Sci, Doha, Qatar.
通讯机构:
[Xu, XD ] C
Cent South Univ, Sch Automat, Changsha 410017, Peoples R China.
语种:
英文
关键词:
Adaptation laws;adaptive observer design;boundary fault parameters;parabolic partial differential equations (PDEs);process uncertainties;regressor filters;unknown boundary parameter
期刊:
IEEE Transactions on Systems, Man, and Cybernetics: Systems
ISSN:
2168-2216
年:
2024
卷:
54
期:
2
页码:
1026-1036
基金类别:
SKRD (Grant Number: 2022YFB3304700) 10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 62103445) 10.13039/501100004735-Hunan Provincial Natural Science Foundation of China (Grant Number: 2022JJ20082)
机构署名:
本校为第一机构
院系归属:
电气与信息工程学院
摘要:
The problem of fault estimation is addressed for one-dimensional (1-D) linear boundary control and boundary observation (BCBO) parabolic partial differential equations (PDEs) with a faulty boundary measurement. The considered plant is subjected to simultaneous unknown multiplicative faults entering the boundary input and boundary measurement. Difficulties arise due to the coupling between the sensor fault parameter and unknown boundary state appearing in the measurement. With the only boundary input and faulty boundary measurement, it is rather challenging to estimate the accurate values of fa...

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