Challenges and opportunities of computational intelligence in industrial control system (ICS)

bracu.type.groupResearch Publications
datacite.rightsMetadata Only
dc.contributor.authorSiddique S.
dc.contributor.authorHaque M.A.
dc.contributor.authorRifat, Rakib Hossain
dc.contributor.authorDas L.R.
dc.contributor.authorTalukder S.
dc.contributor.authorAlam S.B.
dc.contributor.authorGupta K.D.
dc.contributor.departmentBRAC University
dc.date.accessioned2026-08-17T10:34:06Z
dc.date.available2026-08-17T10:34:06Z
dc.date.issued2023-01-01
dc.description.abstractArtificial intelligence (AI) is not a fancy term anymore, or not limited to only researchers and academia. AI is currently becoming a part and parcel of our daily life, we are using AI/ intelligent systems by knowing or without knowing. Event product manufacturers are also trying to incorporate AI with their products to make it more preferable to consumers and trying to get the full benefit of using AI in their production and control units even for business decisions. Therefore, In our paper, we give a comprehensive survey of recent advances in Computational intelligence in industrial Control Systems and cover many usages of how industrial Control Systems are getting benefits from using Computational intelligence. We covered multiple domains like Manufacturing, Energy Management, Transportation, Food and Beverage Industry, and Pharmaceutical Industry, how these industries are utilizing multiple CI-based control systems like Programmable Logic Controllers, Distributed Control Systems, Supervisory Control and Data Acquisition, Industrial Automation, and Control Systems, Intelligent Electronic Devices and found benefits in their operations and manufacturing which helping them to focus more in innovation and improvement of their products. We believe that this survey shall be valuable to researchers across academia and industry.
dc.description.versionPublished
dc.format.extent1158-1163
dc.identifier.citationS. Siddique et al., "Challenges and Opportunities of Computational Intelligence in Industrial Control System (ICS)," 2023 IEEE Symposium Series on Computational Intelligence (SSCI), Mexico City, Mexico, 2023, pp. 1158-1163, doi: 10.1109/SSCI52147.2023.10371954.
dc.identifier.doi10.1109/SSCI52147.2023.10371954
dc.identifier.isbn9781665430654
dc.identifier.other2-s2.0-85182931554
dc.identifier.urihttps://hdl.handle.net/10361/29218
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.hasversion10.1109/SSCI52147.2023.10371954
dc.relation.ispartof2023 IEEE Symposium Series on Computational Intelligence Ssci 2023
dc.relation.ispartofseries2023 IEEE Symposium Series on Computational Intelligence Ssci 2023
dc.relation.urihttps://ieeexplore.ieee.org/document/10371954
dc.rightsfalse
dc.subjectDistributed control systems
dc.subjectIndustrial automation and control Systems
dc.subjectProgrammable logic controllers
dc.subjectSCDA
dc.subject.lcshComputational intelligence.
dc.subject.lcshControl engineering.
dc.titleChallenges and opportunities of computational intelligence in industrial control system (ICS)
dc.typeConference Proceeding
person.affiliation.nameDaffodil International University
person.affiliation.nameClark Atlanta University
person.affiliation.nameBRAC University
person.affiliation.nameUniversity Noakhali
person.affiliation.nameSouthern Illinois University Carbondale
person.affiliation.nameUniversity of Illinois Urbana-Champaign
person.affiliation.nameClark Atlanta University
person.identifier.scopus-author-id57456772900
person.identifier.scopus-author-id57219243705
person.identifier.scopus-author-id58306614600
person.identifier.scopus-author-id58611779900
person.identifier.scopus-author-id57195281460
person.identifier.scopus-author-id36974981900
person.identifier.scopus-author-id57205211355

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