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Adaptive Neural Control for Nonaffine Pure-Feedback System Based on Extreme Learning Machine
المؤلفون المشاركون
Lei, Humin
Ye, Jikun
Zhang, Dongyang
Xu, Chenyang
Li, Jiong
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-06-16
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
For nonaffine pure-feedback systems, an adaptive neural control method based on extreme learning machine (ELM) is proposed in this paper.
Different from the existing methods, this scheme firstly converts the original system into a nonaffine system containing only one unknown term by equivalent transformation, thus avoiding the cumbersome and complex indirect design process of traditional backstepping methods.
Secondly, a high-performance finite-time-convergence-differentiator (FD) is designed, through which the system state variables and their derivatives are accurately estimated to ensure the control effect.
Thirdly, based on the implicit function theorem, the ELM neural network is introduced to approximate the uncertain items of the system, which simplifies the repeated adjustment process of the network training parameters.
Meanwhile, the minimum learning parameter algorithm (MLP) is adopted to design the adaptive law for the norm of the network weight vector, which significantly reduces calculations.
And it is theoretically proved that the closed-loop control system is stable and the tracking error is bounded.
Finally, the effectiveness of the designed controller is verified by simulation.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xu, Chenyang& Lei, Humin& Li, Jiong& Ye, Jikun& Zhang, Dongyang. 2019. Adaptive Neural Control for Nonaffine Pure-Feedback System Based on Extreme Learning Machine. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1196122
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xu, Chenyang…[et al.]. Adaptive Neural Control for Nonaffine Pure-Feedback System Based on Extreme Learning Machine. Mathematical Problems in Engineering No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1196122
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xu, Chenyang& Lei, Humin& Li, Jiong& Ye, Jikun& Zhang, Dongyang. Adaptive Neural Control for Nonaffine Pure-Feedback System Based on Extreme Learning Machine. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1196122
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1196122
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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