In praise of high-pass filters

Bernard Friedland

doi:10.1109/ICCA.2016.7505353

In praise of high-pass filters

Bernard Friedland

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

For the control of a mechanical system in which the all the position variables but none of the velocity variables are measured, a reduced-order observer approaches a bank of high-pass filters. Use of high-pass filters in place of reduced-order observers can offer advantages in robustness and in implementation. Several examples are presented to show these advantages.

Original language	English (US)
Title of host publication	12th IEEE International Conference on Control and Automation, ICCA 2016
Publisher	IEEE Computer Society
Pages	657-662
Number of pages	6
Volume	2016-July
ISBN (Electronic)	9781509017386
DOIs	https://doi.org/10.1109/ICCA.2016.7505353
State	Published - Jul 7 2016
Event	12th IEEE International Conference on Control and Automation, ICCA 2016 - Kathmandu, Nepal Duration: Jun 1 2016 → Jun 3 2016

Other

Other	12th IEEE International Conference on Control and Automation, ICCA 2016
Country/Territory	Nepal
City	Kathmandu
Period	6/1/16 → 6/3/16

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Science Applications
Control and Systems Engineering
Electrical and Electronic Engineering
Industrial and Manufacturing Engineering

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10.1109/ICCA.2016.7505353

Cite this

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title = "In praise of high-pass filters",

abstract = "For the control of a mechanical system in which the all the position variables but none of the velocity variables are measured, a reduced-order observer approaches a bank of high-pass filters. Use of high-pass filters in place of reduced-order observers can offer advantages in robustness and in implementation. Several examples are presented to show these advantages.",

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AB - For the control of a mechanical system in which the all the position variables but none of the velocity variables are measured, a reduced-order observer approaches a bank of high-pass filters. Use of high-pass filters in place of reduced-order observers can offer advantages in robustness and in implementation. Several examples are presented to show these advantages.

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M3 - Conference contribution

AN - SCOPUS:84979740260

VL - 2016-July

SP - 657

EP - 662

BT - 12th IEEE International Conference on Control and Automation, ICCA 2016

PB - IEEE Computer Society

T2 - 12th IEEE International Conference on Control and Automation, ICCA 2016

Y2 - 1 June 2016 through 3 June 2016

ER -

In praise of high-pass filters

Abstract

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All Science Journal Classification (ASJC) codes

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