New energy-to-peak FIR filter design for systems with disturbance: A convex optimization approach

Choon Ki Ahn; Pyung Soo Kim

New energy-to-peak FIR filter design for systems with disturbance: A convex optimization approach

Choon Ki Ahn
, Pyung Soo Kim

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

Abstract

This paper proposes a new energy-to-peak filter (EPF) with a finite impulse response (FIR) structure for linear systems with disturbance. The filter is referred to as an energy-to-peak FIR filter (EPFF). The energy-to-peak performance criterion is minimized in filters that show linearity, FIR structure, and quasi-deadbeat property. The EPFF can be obtained by solving a convex optimization problem represented by linear matrix inequalities (LMIs). A numerical example is given to illustrate the validity of the proposed EPFF.

Original language	English
Pages (from-to)	1987-1993
Number of pages	7
Journal	International Journal of Innovative Computing, Information and Control
Volume	9
Issue number	5
Publication status	Published - 2013

Keywords

Energy-to-peak filter
Finite impulse response (FIR)
Linear systems
Quasi-deadbeat condition
State estimation

ASJC Scopus subject areas

Software
Theoretical Computer Science
Information Systems
Computational Theory and Mathematics

Cite this

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title = "New energy-to-peak FIR filter design for systems with disturbance: A convex optimization approach",

abstract = "This paper proposes a new energy-to-peak filter (EPF) with a finite impulse response (FIR) structure for linear systems with disturbance. The filter is referred to as an energy-to-peak FIR filter (EPFF). The energy-to-peak performance criterion is minimized in filters that show linearity, FIR structure, and quasi-deadbeat property. The EPFF can be obtained by solving a convex optimization problem represented by linear matrix inequalities (LMIs). A numerical example is given to illustrate the validity of the proposed EPFF.",

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T1 - New energy-to-peak FIR filter design for systems with disturbance

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AU - Ahn, Choon Ki

AU - Kim, Pyung Soo

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N2 - This paper proposes a new energy-to-peak filter (EPF) with a finite impulse response (FIR) structure for linear systems with disturbance. The filter is referred to as an energy-to-peak FIR filter (EPFF). The energy-to-peak performance criterion is minimized in filters that show linearity, FIR structure, and quasi-deadbeat property. The EPFF can be obtained by solving a convex optimization problem represented by linear matrix inequalities (LMIs). A numerical example is given to illustrate the validity of the proposed EPFF.

AB - This paper proposes a new energy-to-peak filter (EPF) with a finite impulse response (FIR) structure for linear systems with disturbance. The filter is referred to as an energy-to-peak FIR filter (EPFF). The energy-to-peak performance criterion is minimized in filters that show linearity, FIR structure, and quasi-deadbeat property. The EPFF can be obtained by solving a convex optimization problem represented by linear matrix inequalities (LMIs). A numerical example is given to illustrate the validity of the proposed EPFF.

KW - Energy-to-peak filter

KW - Finite impulse response (FIR)

KW - Linear systems

KW - Quasi-deadbeat condition

KW - State estimation

UR - https://www.scopus.com/pages/publications/84877793962

UR - https://www.scopus.com/pages/publications/84877793962#tab=citedBy

M3 - Article

AN - SCOPUS:84877793962

SN - 1349-4198

VL - 9

SP - 1987

EP - 1993

JO - International Journal of Innovative Computing, Information and Control

JF - International Journal of Innovative Computing, Information and Control

IS - 5

ER -

New energy-to-peak FIR filter design for systems with disturbance: A convex optimization approach

Abstract

Keywords

ASJC Scopus subject areas

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