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- W2061868851 abstract "This paper presents a novel observer based robust process fault detection and diagnosis (FDD) scheme in a class of nonlinear dynamic systems. The proposed observer synthesizes sliding mode techniques and PID-type iterative learning estimators, The observer inputs, which are designed to isolate and estimate faults, are iteratively computed using the proportional, integral, and derivative information about the output estimation error. An adaptive algorithm is adopted to update the parameters of the observer. Moreover robustness, Sensitivity, and sability of this fault detection and diagnosis scheme are theoretically analyzed. Finally, the proposed algorithm is applied to A satellite system With flexible appendages, and simulation results illustrate its effectiveness." @default.
- W2061868851 created "2016-06-24" @default.
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- W2061868851 date "2006-01-01" @default.
- W2061868851 modified "2023-10-16" @default.
- W2061868851 title "Observer-Based Robust Process Fauldt Detection and DiAgnosi's for a Satellite System with Flexible Appendages" @default.
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- W2061868851 doi "https://doi.org/10.1109/cdc.2006.377003" @default.
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