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Optimal fault signal estimation
Author(s) -
A. Stoorvogel A.,
H. Niemann H.,
Saberi A.,
Sannuti P.
Publication year - 2002
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.714
Subject(s) - fault (geology) , identification (biology) , estimator , signal (programming language) , residual , estimation , fault detection and isolation , generator (circuit theory) , computer science , control theory (sociology) , algorithm , engineering , mathematics , statistics , control (management) , artificial intelligence , power (physics) , botany , physics , systems engineering , quantum mechanics , seismology , actuator , biology , programming language , geology
We consider here both fault identification and fault signal estimation. Regarding fault identification, we seek either exact or almost fault identification. On the other hand, regarding fault signal estimation, we seek either ℋ 2 optimal, ℋ 2 suboptimal or ℋ ∞ suboptimal estimation. By appropriate combination of these two aspects, we formulate five different fault identification and fault signal estimation problems. We analyse and synthesize appropriate residual generators for fault identification and estimators which generate fault signal estimates for all these problems. Solvability conditions for all these problems are given. Also, for each of these problems, the architecture of integrating the residual generator that isolates the fault and estimators that estimate the fault signals is developed. Copyright © 2002 John Wiley & Sons, Ltd.