Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/19053
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dc.contributor.authorJuang, Jih-Gau-
dc.contributor.authorYu, Cheng-Yen-
dc.contributor.authorCheng, Chung-Ju-
dc.date.accessioned2013-06-14T05:58:01Z-
dc.date.available2013-06-14T05:58:01Z-
dc.date.issued2013-06-
dc.identifier.issn0975-1017 (Online); 0971-4588 (Print)-
dc.identifier.urihttp://hdl.handle.net/123456789/19053-
dc.description165-176en_US
dc.description.abstractThis paper presents the use of different artificial life-based optimization algorithms and cerebellar model articulation controllers (CMACs) in aircraft automatic landing control. The proposed intelligent control system can act as an experienced pilot and guide the aircraft landed safely in wind disturbance condition. Lyapunov theory is applied to obtain adaptive learning rule and stability analysis is also provided. The proposed controllers have better performance than conventional controller.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rightsCC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJEMS Vol.20(3) [June 2013]en_US
dc.subjectCMACen_US
dc.subjectLanding controlen_US
dc.subjectOptimization algorithmsen_US
dc.subjectWind disturbanceen_US
dc.titleAircraft landing control design based on artificial life and CMACsen_US
dc.typeArticleen_US
Appears in Collections:IJEMS Vol.20(3) [June 2013]

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