NDLI: Receding horizon FIR filter with estimated horizon initial state and its application to aircraft engine systems

Content Provider	IEEE Xplore Digital Library
Author	Soo Hee Han Pyung Soo Kim Wook Hyun Kwon
Copyright Year	1999
Description	Author affiliation: Sch. of Electr. Eng., Seoul Nat. Univ., South Korea (Soo Hee Han)
Abstract	Proposes a version of the discrete-time receding horizon FIR filter (RHFF) using the estimated horizon initial state. The estimated horizon initial state is obtained from the best linear unbiased estimator (BLUE) scheme. The proposed RHFF for the current state can be represented in either an iterative form or a batch form. The proposed RHFF is always time-invariant and has unbiasedness and remarkable deadbeat properties. The proposed RHFF is shown to be equivalent to the existing RHFF with unknown horizon initial state. For the validity of the proposed RHFF, the problem of a third-order dynamic model of an F-404 aircraft engine system is considered via simulation studies.
Starting Page	33
Ending Page	38
File Size	550881
Page Count	6
File Format	PDF
ISBN	078035446X
DOI	10.1109/CCA.1999.806139
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-08-22
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Finite impulse response filter State estimation Kalman filters IIR filters Aircraft propulsion Control systems Feedback control H infinity control Filtering algorithms Engines
Content Type	Text
Resource Type	Article

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Receding horizon FIR filter with estimated horizon initial state and its application to aircraft engine systems