Design of hybrid Neuro-Robust deadbeat controller for higher order linear systems based on optimized mixed reduction method

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dc.contributor.authorKaram, Ekhlas H.
dc.contributor.authorAbdul-Jaleel, Noor S.
dc.contributor.authorSalah, Basma J.
dc.contributor.statusnemhu_HU
dc.date.accessioned2021-04-06T08:43:06Z
dc.date.available2021-04-06T08:43:06Z
dc.date.issued2020-11-12
dc.description.abstractThe control of higher order linear system is one of the main fields of research area that has been studied for decades because of the difficulty in designing a controller for such systems. One of the best approaches to solve this problem is by reducing the order of the system into a second orders, based on this reduction many approaches can be proposed for controlling the higher order system, therefore many reduction methods are suggested and developed for this purpose, one of these methods is the Mixed Reduction Method (MRM). The first contribution of this paper is to improve the efficiency of MRM by using a flower optimization algorithm. The second contribution of this paper lies in proposing a hybrid Neuro-Robust deadbeat controller using Matlab facilities to control higher order linear systems based on the optimized MRM. Where the robust deadbeat control algorithm is combined with a modified adaptive radial basis neural network to improve the robustness and efficacy of the deadbeat controller, which is partially lost when designing this controller for the higher order based on model reduction. The suggested radial basis function neural network has a simple design. The proposed control scheme assures the stability of the overall closed loop-controlled system; therefore, it can be applied to control any linear higher order systems. Results of different simulation examples show the efficiency of the proposed hybrid controller (Neuro-robust deadbeat) in tracking different reference signals compared to the robust deadbeat controller.hu_HU
dc.identifier.doi10.1556/1848.2020.00090hu_HU
dc.identifier.issn2062-0810
dc.identifier.issue3hu_HU
dc.identifier.jtitleInternational Review of Applied Sciences and Engineering
dc.identifier.urihttp://hdl.handle.net/2437/305213
dc.identifier.urlhttps://akjournals.com/view/journals/1848/11/3/article-p251.xmlhu_HU
dc.identifier.volume11hu_HU
dc.language.isoenhu_HU
dc.publisherAkadémiai Kiadóhu_HU
dc.subjectdeadbeathu_HU
dc.subjectradial basis neural networkhu_HU
dc.subjecthigher order linear systemshu_HU
dc.subjectmodel reductionhu_HU
dc.subjectflower optimization algorithmhu_HU
dc.titleDesign of hybrid Neuro-Robust deadbeat controller for higher order linear systems based on optimized mixed reduction methodhu_HU
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International Review of Applied Sciences and Engineering