Neural Network-Based Sampled-Data Control for Switched Uncertain Nonlinear Systems
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Li, Shi | - |
dc.contributor.author | Ahn, Choon Ki | - |
dc.contributor.author | Guo, Jian | - |
dc.contributor.author | Xiang, Zhengrong | - |
dc.date.accessioned | 2022-02-24T13:40:35Z | - |
dc.date.available | 2022-02-24T13:40:35Z | - |
dc.date.created | 2022-02-07 | - |
dc.date.issued | 2021-09 | - |
dc.identifier.issn | 2168-2216 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/136745 | - |
dc.description.abstract | This article investigates the sampled-data stabilization problem of a class of switched nonlinear systems. All subsystems of the considered system are allowed to be unstabilizable. To relax the restrictions on unknown nonlinear functions in some existing results, we use the nonlinear approximation ability of radial basis function neural networks. Novel mode-dependent adaptive laws and sampled-data control laws are constructed by only using the system states' information at sampling instants. A novel sampled-data switching condition is derived, which can avoid Zeno behavior effectively. To guarantee that all states of the closed-loop system (CLS) are bounded, a new allowable sampling period is deduced. Finally, we demonstrate the proposed method's effectiveness through two examples. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | OUTPUT-FEEDBACK STABILIZATION | - |
dc.subject | ADAPTIVE TRACKING CONTROL | - |
dc.subject | PRESCRIBED PERFORMANCE | - |
dc.subject | GLOBAL STABILIZATION | - |
dc.title | Neural Network-Based Sampled-Data Control for Switched Uncertain Nonlinear Systems | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Ahn, Choon Ki | - |
dc.identifier.doi | 10.1109/TSMC.2019.2954231 | - |
dc.identifier.scopusid | 2-s2.0-85113232385 | - |
dc.identifier.wosid | 000685890800023 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, v.51, no.9, pp.5437 - 5445 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | - |
dc.citation.title | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | - |
dc.citation.volume | 51 | - |
dc.citation.number | 9 | - |
dc.citation.startPage | 5437 | - |
dc.citation.endPage | 5445 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Automation & Control Systems | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Automation & Control Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Cybernetics | - |
dc.subject.keywordPlus | ADAPTIVE TRACKING CONTROL | - |
dc.subject.keywordPlus | GLOBAL STABILIZATION | - |
dc.subject.keywordPlus | OUTPUT-FEEDBACK STABILIZATION | - |
dc.subject.keywordPlus | PRESCRIBED PERFORMANCE | - |
dc.subject.keywordAuthor | Adaptive neural network (NN) control | - |
dc.subject.keywordAuthor | Adaptive systems | - |
dc.subject.keywordAuthor | Artificial neural networks | - |
dc.subject.keywordAuthor | Estimation | - |
dc.subject.keywordAuthor | Nonlinear systems | - |
dc.subject.keywordAuthor | Switched systems | - |
dc.subject.keywordAuthor | Switches | - |
dc.subject.keywordAuthor | nonlinear systems | - |
dc.subject.keywordAuthor | sampled-data control | - |
dc.subject.keywordAuthor | state feedback | - |
dc.subject.keywordAuthor | switched systems | - |
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