Fractional Order Networked Control System using Stochastic Iterative Learning Control

dc.contributor.authorShakeri, Ehsan
dc.contributor.authorAbharian, Amir Esmaeili
dc.date.accessioned2023-01-12T16:28:06Z
dc.date.available2023-01-12T16:28:06Z
dc.date.issued2022-12-30
dc.description2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Maldives, 16-18 November 2022.en_US
dc.description.abstractNetworked control systems (NCSs) are one of the main areas in control and computer engineering. Despite the many advantages that NCSs have, they impose restrictions such as random data dropout on control systems. We can remove the impact of data dropout by employing the iterative learning control (ILC) method for repetitive systems. In this paper, an ILC for stochastic fractional order NCSs has been presented to deal with the random data dropout imposed by the network. Using the Kalman filter approach, the optimal learning gain is determined so that the system output tracks to the desired output in the presence of random data dropout. The simulation results show that the mean of tracking error becomes close to zero after 500 iterations when a significant number of data packets have been lost in the network.en_US
dc.description.urihttps://ieeexplore.ieee.org/document/9987907en_US
dc.format.extent6 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.genrepostprintsen_US
dc.identifierdoi:10.13016/m21e2k-f6dn
dc.identifier.citationE. Shakeri and A. E. Abharian, "Fractional Order Networked Control System using Stochastic Iterative Learning Control," 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Maldives, Maldives, 2022, pp. 1-6, doi: 10.1109/ICECCME55909.2022.9987907.en_US
dc.identifier.urihttps://doi.org/10.1109/ICECCME55909.2022.9987907
dc.identifier.urihttp://hdl.handle.net/11603/26647
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Mathematics Department Collection
dc.relation.ispartofUMBC Student Collection
dc.rights© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.titleFractional Order Networked Control System using Stochastic Iterative Learning Controlen_US
dc.typeTexten_US

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