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Decentralised collaborative iterative learning control for multi-agent systems point-to-point channel tracking

Decentralised collaborative iterative learning control for multi-agent systems point-to-point channel tracking
Decentralised collaborative iterative learning control for multi-agent systems point-to-point channel tracking
Application of learning to collaborative tracking control of multi-agent systems has addressed a wealth of problems across transportation, manufacturing, rescue, aerospace and medical care area. Iterative Learning Control (ILC) algorithms
have been proposed to address synergistic objectives in general optimisation problems, achieving a transparent balance between convergence speed, tracking error and robustness.
Chen, Shangcheng
695035a1-a03d-4539-8ae5-68b7fafbbfb9
Freeman, Chris
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Chen, Shangcheng
695035a1-a03d-4539-8ae5-68b7fafbbfb9
Freeman, Chris
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815

Chen, Shangcheng and Freeman, Chris (2024) Decentralised collaborative iterative learning control for multi-agent systems point-to-point channel tracking. 2024 American Control Conference, Westin Harbour Castle, Toronto, Canada. 10 - 12 Jul 2024. 6 pp . (In Press)

Record type: Conference or Workshop Item (Paper)

Abstract

Application of learning to collaborative tracking control of multi-agent systems has addressed a wealth of problems across transportation, manufacturing, rescue, aerospace and medical care area. Iterative Learning Control (ILC) algorithms
have been proposed to address synergistic objectives in general optimisation problems, achieving a transparent balance between convergence speed, tracking error and robustness.

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More information

Accepted/In Press date: 24 January 2024
Venue - Dates: 2024 American Control Conference, Westin Harbour Castle, Toronto, Canada, 2024-07-10 - 2024-07-12
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Identifiers

Local EPrints ID: 486783
URI: http://eprints.soton.ac.uk/id/eprint/486783
PURE UUID: c0fbc09d-836c-433a-b710-28e69252bb95

Catalogue record

Date deposited: 06 Feb 2024 17:38
Last modified: 06 Feb 2024 17:38

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Contributors

Author: Shangcheng Chen
Author: Chris Freeman

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