Attention-enabled memory for concurrent learning adaptive control

Simple item page
buir.contributor.authorHabboush, Abdullah
buir.contributor.authorYıldız, Yıldıray
buir.contributor.orcidHabboush, Abdullah|0000-0001-8598-6419
buir.contributor.orcidYıldız, Yıldıray|0000-0001-6270-5354
dc.citation.epage972en_US
dc.citation.spage967en_US
dc.citation.volumeNumber7en_US
dc.contributor.authorHabboush, Abdullah
dc.contributor.authorYıldız, Yıldıray
dc.date.accessioned2023-02-28T11:05:22Z
dc.date.available2023-02-28T11:05:22Z
dc.date.issued2022-12-16
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractTransient tracking error dynamics are inevitable in any practical closed-loop control system. While numerous works are devoted to improving these dynamics, in this letter, we focus on taking advantage of it first, in the context of adaptive control. We propose a memory architecture that can make use of stored significant data about the transients of previously experienced anomalies to aid in obtaining a resilient system against uncertainties. The proposed architecture consists of 1) a memory containing data about a variety of uncertainties, 2) a short-term memory that aids in handling new uncertainties, and 3) an attention-based reading mechanism that enables the controller to retrieve only relevant data from the memory. The effectiveness of the architecture is validated through numerical simulations, and a rigorous Lyapunov stability analysis is provided.en_US
dc.description.provenanceSubmitted by Ayça Nur Sezen (ayca.sezen@bilkent.edu.tr) on 2023-02-28T11:05:22Z No. of bitstreams: 1 Attention-enabled_memory_for_concurrent_learning_adaptive_control.pdf: 799899 bytes, checksum: eedd0fbf8a04c2f66e5d139376d40e5d (MD5)en
dc.description.provenanceMade available in DSpace on 2023-02-28T11:05:22Z (GMT). No. of bitstreams: 1 Attention-enabled_memory_for_concurrent_learning_adaptive_control.pdf: 799899 bytes, checksum: eedd0fbf8a04c2f66e5d139376d40e5d (MD5) Previous issue date: 2022-12-16en
dc.identifier.doi10.1109/LCSYS.2022.3229961en_US
dc.identifier.eissn2475-1456
dc.identifier.urihttp://hdl.handle.net/11693/111915
dc.language.isoEnglishen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttps://doi.org/10.1109/LCSYS.2022.3229961en_US
dc.source.titleIEEE Control Systems Lettersen_US
dc.subjectAdaptive controlen_US
dc.subjectUncertain systemsen_US
dc.titleAttention-enabled memory for concurrent learning adaptive controlen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Attention-enabled_memory_for_concurrent_learning_adaptive_control.pdf
Size:
781.15 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.69 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Scholarly Publications - Electrical and Electronics Engineering