Restricted structure optimal linear pseudo-state filtering for discrete-time systems

M.J. Grimble

doi:10.1109/ACC.2000.878889

Restricted structure optimal linear pseudo-state filtering for discrete-time systems

M.J. Grimble

Electronic And Electrical Engineering

Research output: Contribution to journal › Article › peer-review

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Abstract

A new class of discrete-time optimal linear estimators is introduced that minimizes estimation error variance criterion but where the structure is pre-specified to have a relatively simple form.

Original language	English
Pages (from-to)	2522-2535
Number of pages	13
Journal	IEEE Transactions on Signal Processing
Volume	49
Issue number	11
DOIs	https://doi.org/10.1109/ACC.2000.878889
Publication status	Published - 2001

Keywords

estimation error
differential integral proportional control
transfer function
Linear estimation
signal processing

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10.1109/ACC.2000.878889

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abstract = "A new class of discrete-time optimal linear estimators is introduced that minimizes estimation error variance criterion but where the structure is pre-specified to have a relatively simple form.",

keywords = "estimation error, differential integral proportional control, transfer function, Linear estimation, signal processing",

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year = "2001",

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language = "English",

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pages = "2522--2535",

journal = "IEEE Transactions on Signal Processing",

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AB - A new class of discrete-time optimal linear estimators is introduced that minimizes estimation error variance criterion but where the structure is pre-specified to have a relatively simple form.

KW - estimation error

KW - differential integral proportional control

KW - transfer function

KW - Linear estimation

KW - signal processing

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DO - 10.1109/ACC.2000.878889

M3 - Article

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EP - 2535

JO - IEEE Transactions on Signal Processing

JF - IEEE Transactions on Signal Processing

IS - 11

ER -

Restricted structure optimal linear pseudo-state filtering for discrete-time systems

Abstract

Keywords

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