Dynamic recurrent neural networks for stable adaptive control of w ing rock motion

机译：动态经常性神经网络，用于稳定摇滚运动的稳定自适应控制

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Wing Rock or limit cycle oscillation (LCO) in an aircraft is often caused by aerodynamic nonlinearities or mechanical hystersis. A dynamic recurrent radial basis function neural networks (DR-RBF) are proposed for modelling the nonlinear hysteresis. The concept based on Preisach hystersis model is used in the design of neural networks. The structure and memory mehanism in the hysteresis mode, is analysogous to parallel connectivity and memory formation in neural networks. Adaptive control law based on minimisation of the energy function ot ensure stability in the Lyapunov sense is presented.

机译：飞机中的翼岩或极限循环振荡（LCO）通常由空气动力学非线性或机械稳定仪引起。提出了一种动态复发性径向基函数神经网络（DR-RBF），用于建模非线性滞后。基于Preisach Hystersis模型的概念用于神经网络的设计。滞后模式中的结构和记忆梅哈西在神经网络中分析并行连接和内存形成。基于最小化能量函数OT的自适应控制定律，确保Lyapunov意义上的稳定性。

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《International Federation of Automatic Control symposium on automatic control in aerospace》|1999年||共6页
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Steven B.L.Kooi; J.V.Svoboda;
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正文语种
中图分类航空、航天技术的研究与探索;
关键词
Limit Cycles; Neural Networks; Adaptive Control; Feedback Linearization;

机译：限制周期;神经网络;自适应控制;反馈线性化;

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4. Dynamic recurrent neural networks for stable adaptive control of w ing rock motion [C] . Steven B.L.Kooi, J.V.Svoboda International Federation of Automatic Control symposium on automatic control in aerospace . 1999

机译：动态经常性神经网络，用于稳定摇滚运动的稳定自适应控制
5. Dynamic recurrent neural networks for stable adaptive control of wing rock motion. [D] . Kooi, Steven Boon-Lam. 1999

机译：动态递归神经网络用于机翼岩石运动的稳定自适应控制。
6. Predicting non-linear dynamics by stable local learning in a recurrent spiking neural network [O] . Aditya Gilra, Wulfram Gerstner 2017

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7. Neural network adaptive control of wing-rock motion of aircraft model mounted on three-degree-of-freedom dynamic rig in wind tunnel [O] . D. I. Ignatyev 2018

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8. Research of Recurrent Dynamic Neural Networks for Adaptive Control of Complex Dynamic Systems [R] . Reznik, A. M. 2010

机译：复杂动态系统自适应控制的递归动态神经网络研究

Dynamic recurrent neural networks for stable adaptive control of w ing rock motion

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