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Pole assignment control design for time–varying time–delay systems using radial basis functions

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Pole assignment control design for time–varying time–delay systems using radial basis functions. / 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

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Albrecht, Olivia ; Taylor, C. James. / Pole assignment control design for time–varying time–delay systems using radial basis functions. 2022 UKACC 13th International Conference on Control (CONTROL). IEEE, 2022.

Bibtex

@inproceedings{cc806af1d0ee4ba7ac23355573e1458c,
title = "Pole assignment control design for time–varying time–delay systems using radial basis functions",
abstract = "Systems with time-varying time delays present a particularly challenging control problem. They have been observed across a wide array of domains, from hydraulic actuators to insulin delivery control systems. Control systems that address system time-delays, nonlinearities and uncertainty are the subject of much research but, whilst the specific concept of varying time delays is sometimes acknowledged (for example in the control of hydraulic manipulators), this appears to be less widely investigated than some other types of nonlinearity. In part motivated by recent research into internal multi-model control, as similarly applied to systems with unknown time-varying delays, the present work utilises a Gaussian radial basis function to switch between two or more partial controllers. Each partial controller is based on a linear model with a (time-invariant) time delay. The new algorithm is developed and evaluated via simulation using a non-minimal state space (NMSS) framework, with pole assignment as the design criterion. Simulation results suggest that it yields improved performance in comparison to a simpler switching approach and the equivalent linear control system. However, laboratory examples and further research into robustness and stability is required in the next step.",
keywords = "uncertain time delay, time-varying delay, Gaussian radial basis function, non-minimal state space model",
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/control55989.2022.9781463",
language = "English",
isbn = "9781665452014",
booktitle = "2022 UKACC 13th International Conference on Control (CONTROL)",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Pole assignment control design for time–varying time–delay systems using radial basis functions

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 - Systems with time-varying time delays present a particularly challenging control problem. They have been observed across a wide array of domains, from hydraulic actuators to insulin delivery control systems. Control systems that address system time-delays, nonlinearities and uncertainty are the subject of much research but, whilst the specific concept of varying time delays is sometimes acknowledged (for example in the control of hydraulic manipulators), this appears to be less widely investigated than some other types of nonlinearity. In part motivated by recent research into internal multi-model control, as similarly applied to systems with unknown time-varying delays, the present work utilises a Gaussian radial basis function to switch between two or more partial controllers. Each partial controller is based on a linear model with a (time-invariant) time delay. The new algorithm is developed and evaluated via simulation using a non-minimal state space (NMSS) framework, with pole assignment as the design criterion. Simulation results suggest that it yields improved performance in comparison to a simpler switching approach and the equivalent linear control system. However, laboratory examples and further research into robustness and stability is required in the next step.

AB - Systems with time-varying time delays present a particularly challenging control problem. They have been observed across a wide array of domains, from hydraulic actuators to insulin delivery control systems. Control systems that address system time-delays, nonlinearities and uncertainty are the subject of much research but, whilst the specific concept of varying time delays is sometimes acknowledged (for example in the control of hydraulic manipulators), this appears to be less widely investigated than some other types of nonlinearity. In part motivated by recent research into internal multi-model control, as similarly applied to systems with unknown time-varying delays, the present work utilises a Gaussian radial basis function to switch between two or more partial controllers. Each partial controller is based on a linear model with a (time-invariant) time delay. The new algorithm is developed and evaluated via simulation using a non-minimal state space (NMSS) framework, with pole assignment as the design criterion. Simulation results suggest that it yields improved performance in comparison to a simpler switching approach and the equivalent linear control system. However, laboratory examples and further research into robustness and stability is required in the next step.

KW - uncertain time delay

KW - time-varying delay

KW - Gaussian radial basis function

KW - non-minimal state space model

U2 - 10.1109/control55989.2022.9781463

DO - 10.1109/control55989.2022.9781463

M3 - Conference contribution/Paper

SN - 9781665452014

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

PB - IEEE

ER -