Publications
Multi-Scale Feedbacks for Large-Scale Coordination in Self-Systems Inproceedings
In: 2019 IEEE 13th International Conference on Self-Adaptive and Self-Organizing Systems, SASO, pp. 137–142, IEEE Computer Society, 2019.
Multi-Scale Feedbacks for Large-Scale Coordination in Self-Systems Inproceedings
Diaconescu, Ada; Felice, Louisa Jane Di; Mellodge, Patricia
In: 2019 IEEE 13th International Conference on Self-Adaptive and Self-Organizing Systems, SASO, pp. 137–142, IEEE Computer Society, 2019.
Abstract | Links | BibTeX | Tags: adaptive control, design pattenr, hierarchy, large-scale coordination, multi-scale feedbacks, robustness
@inproceedings{Diaconescu2019,
title = {Multi-Scale Feedbacks for Large-Scale Coordination in Self-Systems},
author = {Ada Diaconescu and Louisa Jane Di Felice and Patricia Mellodge},
url = {https://ieeexplore.ieee.org/document/8780529},
doi = {10.1109/SASO.2019.00025},
year = {2019},
date = {2019-01-01},
booktitle = {2019 IEEE 13th International Conference on Self-Adaptive and Self-Organizing Systems, SASO},
pages = {137--142},
publisher = {IEEE Computer Society},
abstract = {Multi-scale structures, or hierarchies, are prevalent in large-scale dynamic systems, from inert matter to living and artificial systems, and systems-of-systems. Yet, a general theory helping to understand and develop multi-scale systems is still missing. This paper identifies common design aspects and variants, and synthesises them via a novel design pattern - Multi-Scale Feedbacks - to help adaptive coordination in large-scale systems. It also suggests relations between design choices and qualitative properties. The proposed pattern was distilled from a cross-domain study, including particle physics, molecular biology, neuroscience, insect and human organisations, ecosystems, autonomous control and systems-of-systems.},
keywords = {adaptive control, design pattenr, hierarchy, large-scale coordination, multi-scale feedbacks, robustness},
pubstate = {published},
tppubtype = {inproceedings}
}
AGAUR Grant ID 2017 SGR 230 / Copyright © 2023
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