Fractional cyber-neural systems — A brief survey

Title

Fractional cyber-neural systems — A brief survey

 Author

Reed, Emily (University of Southern California)
Chatterjee, Sarthak (Rensselaer Polytechnic Institute)
Ramos, Guilherme (University of Lisbon)
Bogdan, Paul (University of Southern California)
Gonçalves Melo Pequito, S.D. (TU Delft Team Sergio Pequito)

Date

2022

 Abstract

Neurotechnology has made great strides in the last 20 years. However, we still have a long way to go to commercialize many of these technologies as we lack a unified framework to study cyber-neural systems (CNS) that bring the hardware, software, and the neural system together. Dynamical systems play a key role in developing these technologies as they capture different aspects of the brain and provide insight into their function. Converging evidence suggests that fractional-order dynamical systems are advantageous in modeling neural systems because of their compact representation and accuracy in capturing the long-range memory exhibited in neural behavior. In this brief survey, we provide an overview of fractional CNS that entails fractional-order systems in the context of CNS. In particular, we introduce basic definitions required for the analysis and synthesis of fractional CNS, encompassing system identification, state estimation, and closed-loop control. Additionally, we provide an illustration of some applications in the context of CNS and draw some possible future research directions. Advancements in these three areas will be critical in developing the next generation of CNS, which will, ultimately, improve people's quality of life.


 Subject

Cyber-neural systems
Fractional-order systems
Neurotechnology

 To reference this document use:

http://resolver.tudelft.nl/uuid:66481437-8ebd-4073-b54e-2fda82c23816

 DOI

https://doi.org/10.1016/j.arcontrol.2022.06.002

 Embargo date

2023-05-02

 ISSN

1367-5788

 Source

Annual Reviews in Control, 54, 386-408

 Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

 Part of collection

Institutional Repository

 Document type

review

 Rights

© 2022 Emily Reed, Sarthak Chatterjee, Guilherme Ramos, Paul Bogdan, S.D. Gonçalves Melo Pequito
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