dc.creator | Liu, Junxiu | es |
dc.creator | Harkin, Jim | es |
dc.creator | McElholm, Malachy | es |
dc.creator | McDaid, Liam | es |
dc.creator | Jiménez Fernández, Ángel Francisco | es |
dc.creator | Linares Barranco, Alejandro | es |
dc.date.accessioned | 2020-01-22T10:22:33Z | |
dc.date.available | 2020-01-22T10:22:33Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Liu, J., Harkin, J., McElholm, M., McDaid, L., Jiménez Fernández, Á.F. y Linares Barranco, A. (2015). Case study: Bio-inspired self-adaptive strategy for spike-based PID controller. En ISCAS 2015: IEEE International Symposium on Circuits and Systems (2700-2703), Lisboa, Portugal: IEEE Computer Society. | |
dc.identifier.isbn | 978-1-4799-8391-9 | es |
dc.identifier.issn | 0271-4302 | es |
dc.identifier.uri | https://hdl.handle.net/11441/92096 | |
dc.description.abstract | A key requirement for modern large scale
neuromorphic systems is the ability to detect and diagnose faults
and to explore self-correction strategies. In particular, to perform
this under area-constraints which meet scalability requirements
of large neuromorphic systems. A bio-inspired online fault
detection and self-correction mechanism for neuro-inspired PID
controllers is presented in this paper. This strategy employs a
fault detection unit for online testing of the PID controller; uses a
fault detection manager to perform the detection procedure
across multiple controllers, and a controller selection mechanism
to select an available fault-free controller to provide a corrective
step in restoring system functionality. The novelty of the
proposed work is that the fault detection method, using synapse
models with excitatory and inhibitory responses, is applied to a
robotic spike-based PID controller. The results are presented for
robotic motor controllers and show that the proposed bioinspired
self-detection and self-correction strategy can detect
faults and re-allocate resources to restore the controller’s
functionality. In particular, the case study demonstrates the
compactness (~1.4% area overhead) of the fault detection
mechanism for large scale robotic controllers. | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TEC2012-37868-C04-02 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | IEEE Computer Society | es |
dc.relation.ispartof | ISCAS 2015: IEEE International Symposium on Circuits and Systems (2015), p 2700-2703 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Bio-inspired systems | es |
dc.subject | Robotics | es |
dc.subject | Fault tolerant | es |
dc.subject | selfcorrection | es |
dc.subject | Hardware adaption | es |
dc.title | Case study: Bio-inspired self-adaptive strategy for spike-based PID controller | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores | es |
dc.relation.projectID | TEC2012-37868-C04-02 | es |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/7169243 | es |
dc.identifier.doi | 10.1109/ISCAS.2015.7169243 | es |
dc.contributor.group | Universidad de Sevilla. TEP-108: Robótica y Tecnología de Computadores Aplicada a la Rehabilitación | es |
idus.format.extent | 4 | es |
dc.publication.initialPage | 2700 | es |
dc.publication.endPage | 2703 | es |
dc.eventtitle | ISCAS 2015: IEEE International Symposium on Circuits and Systems | es |
dc.eventinstitution | Lisboa, Portugal | es |
dc.relation.publicationplace | New York, USA | es |