Home > Research > Publications & Outputs > A linear regression variable time delay estimat...

Electronic data

  • ukacc_delay_220309_final

    Rights statement: ©2022 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

    Accepted author manuscript, 549 KB, PDF document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

Links

Text available via DOI:

View graph of relations

A linear regression variable time delay estimation algorithm for the analysis of hydraulic manipulators

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

Standard

A linear regression variable time delay estimation algorithm for the analysis of hydraulic manipulators. / Albrecht, Olivia; Taylor, C. James.

2022 UKACC 13th International Conference on Control (CONTROL). IEEE, 2022.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

APA

Vancouver

Author

Albrecht, Olivia ; Taylor, C. James. / A linear regression variable time delay estimation algorithm for the analysis of hydraulic manipulators. 2022 UKACC 13th International Conference on Control (CONTROL). IEEE, 2022.

Bibtex

@inproceedings{f4ccf0eccf674f8d9ff97cdcc99bfc8d,
title = "A linear regression variable time delay estimation algorithm for the analysis of hydraulic manipulators",
abstract = "An algorithm to investigate nonlinear systems with time delay variability is proposed. It automatically cycles through segments of an open loop experiment, capturing the directional change in the output via a pair of regression equations, and estimates the time delay accordingly. The method is a black-box, statistical approach that does not require a dynamic model nor any knowledge of the systematic causes of the time delay variability. It is designed for systems with approximately integrating behaviour, hence it is used in this article for the analysis of hydraulically actuated robotic manipulators with this characteristic and time-varying delays. In the context of control, the new algorithm provides insight into the variable time delay behaviour and hence can guide control design decisions e.g. by uncovering state dependencies.",
keywords = "uncertain time delay, time-varying delay, dead-band, hydraulic manipulators",
author = "Olivia Albrecht and Taylor, {C. James}",
note = "{\textcopyright}2022 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",
year = "2022",
month = may,
day = "27",
doi = "10.1109/control55989.2022.9781372",
language = "English",
isbn = "9781665452014",
booktitle = "2022 UKACC 13th International Conference on Control (CONTROL)",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - A linear regression variable time delay estimation algorithm for the analysis of hydraulic manipulators

AU - Albrecht, Olivia

AU - Taylor, C. James

N1 - ©2022 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2022/5/27

Y1 - 2022/5/27

N2 - An algorithm to investigate nonlinear systems with time delay variability is proposed. It automatically cycles through segments of an open loop experiment, capturing the directional change in the output via a pair of regression equations, and estimates the time delay accordingly. The method is a black-box, statistical approach that does not require a dynamic model nor any knowledge of the systematic causes of the time delay variability. It is designed for systems with approximately integrating behaviour, hence it is used in this article for the analysis of hydraulically actuated robotic manipulators with this characteristic and time-varying delays. In the context of control, the new algorithm provides insight into the variable time delay behaviour and hence can guide control design decisions e.g. by uncovering state dependencies.

AB - An algorithm to investigate nonlinear systems with time delay variability is proposed. It automatically cycles through segments of an open loop experiment, capturing the directional change in the output via a pair of regression equations, and estimates the time delay accordingly. The method is a black-box, statistical approach that does not require a dynamic model nor any knowledge of the systematic causes of the time delay variability. It is designed for systems with approximately integrating behaviour, hence it is used in this article for the analysis of hydraulically actuated robotic manipulators with this characteristic and time-varying delays. In the context of control, the new algorithm provides insight into the variable time delay behaviour and hence can guide control design decisions e.g. by uncovering state dependencies.

KW - uncertain time delay

KW - time-varying delay

KW - dead-band

KW - hydraulic manipulators

U2 - 10.1109/control55989.2022.9781372

DO - 10.1109/control55989.2022.9781372

M3 - Conference contribution/Paper

SN - 9781665452014

BT - 2022 UKACC 13th International Conference on Control (CONTROL)

PB - IEEE

ER -