کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4944234 | 1437982 | 2017 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Adaptive neural control of MIMO stochastic systems with unknown high-frequency gains
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Adaptive neural control of MIMO stochastic systems with unknown high-frequency gains Adaptive neural control of MIMO stochastic systems with unknown high-frequency gains](/preview/png/4944234.png)
چکیده انگلیسی
This paper addresses the control problem of MIMO stochastic nonlinear systems with unknown high-frequency gains. In the existing works, the prior knowledge of the high-frequency gain or its control direction is assumed known for the control design. This paper removes such assumptions, and proposes an adaptive neural network algorithm that allows the high-frequency gains to be time-varying and their control directions to be unknown. Nussbaum gain based approach and adaptive neural network mechanism are brought together such that all the signals in the closed-loop system are ensured bounded. A simulation study is carried out to confirm the validity of the proposed algorithm.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volumes 418â419, December 2017, Pages 513-530
Journal: Information Sciences - Volumes 418â419, December 2017, Pages 513-530
نویسندگان
Ci Chen, Zhi Liu, Kan Xie, Yun Zhang, C.L. Philip Chen,