Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/21076
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dc.contributor.authorPeng, Zenglong-
dc.contributor.authorSong, Xiaona-
dc.contributor.authorSong, Shuai-
dc.contributor.authorStojanović, Vladimir-
dc.date.accessioned2024-08-16T09:08:11Z-
dc.date.available2024-08-16T09:08:11Z-
dc.date.issued2024-
dc.identifier.issn0890-6327en_US
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/21076-
dc.description.abstractIn this paper, an iterative learning-based spatiotemporal fault estimation issue in switched reaction–diffusion systems is investigated. Initially, average dwell-time switching rules are utilized to describe a class of switched reaction–diffusion systems characterized by mode jumps. Then, different from the existing fault estimation methods, a fault estimator is designed for spatiotemporal faults to realize an accurate estimation of faults by using the iterative learning strategy. Subsequently, to improve the speed of fault estimation, an adaptive iterative learning-based fault estimation law is proposed, which can achieve faster fault estimation by continuously adjusting the iterative learning gain. Moreover, sufficient conditions for the convergence of the fault estimation error are obtained by using the 𝜆-norm and the mathematical induction methods. Finally, an illustrative example is presented to check the practicality and superiority of the proposed fault estimation scheme.en_US
dc.language.isoenen_US
dc.relation451-03-65/2024-03/200108en_US
dc.relation.ispartofInternational Journal of Adaptive Control and Signal Processingen_US
dc.subjectadaptive iterative learningen_US
dc.subjectaverage dwell-time switching ruleen_US
dc.subjectfault estimationen_US
dc.subjectspatiotemporal faultsen_US
dc.subjectswitched reaction–diffusion systemsen_US
dc.titleSpatiotemporal fault estimation for switched nonlinear reaction–diffusion systems via adaptive iterative learningen_US
dc.typearticleen_US
dc.description.versionPublisheden_US
dc.identifier.doi10.1002/acs.3885en_US
dc.type.versionPublishedVersionen_US
Appears in Collections:Faculty of Mechanical and Civil Engineering, Kraljevo

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