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Dynamically structured radial basis function neural networks for robust aircraft flight control

机译：动态结构的径向基函数神经网络，用于飞机的稳健飞行控制

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An online control scheme that utilizes a dynamically structured radial basis function network (RBFN) is developed for aircraft control. By using Lyapunov synthesis approach, the tuning rule for updating all the parameters of the dynamic RBFN which guarantees the stability of the overall system is derived. The robustness of the proposed tuning rule is also analyzed. Simulation studies using the F8 aircraft longitudinal model demonstrates the efficiency of the method and also show that with a dynamically structured RBFN, a more compact network structure can be implemented.

机译：开发了一种利用动态结构的径向基函数网络（RBFN）的在线控制方案来进行飞机控制。通过使用Lyapunov综合方法，推导了用于更新动态RBFN的所有参数的调整规则，该规则确保了整个系统的稳定性。还分析了所提出的调整规则的鲁棒性。使用F8飞机纵向模型进行的仿真研究证明了该方法的有效性，并且还表明，利用动态结构化的RBFN，可以实现更紧凑的网络结构。

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《》|2000年|P.3501-3505|共5页
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Li Yan; Sundarajan; N.;
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中图分类无线电电子学、电信技术;
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1. Generalized three phase robust load-flow for radial and meshed power systems with and without uncertainty in energy resources using dynamic radial basis functions neural networks [J] . Baghaee Hamid Reza, Mirsalim Mojtaba, Gharehpetian Gevork B., Journal of Cleaner Production . 2018,第FEBa10期

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2. Application of Neural Networks for Synthesizing Flight Control Algorithms. I Neural Network Inverse Dynamics Method for Aircraft Flight Control [J] . A. I. Kondratev, Yu. V. Tyumentsev Russian Aeronautics . 2013,第2期

机译：神经网络在飞行控制算法综合中的应用。飞机飞行控制的神经网络逆动力学方法
3. RADIAL BASIS FUNCTION NEURAL NETWORKS FOR TRANSIENT STABILITY ASSESSMENT PART I: THEORY OF RADIAL BASIS FUNCTION NEURAL NETWORKS [J] . S. Muknahallipatna, B.H. Chowdhury International journal of power & energy systems . 2001,第2期

机译：暂态稳定评估的径向基神经网络，第一部分：径向基神经网络的理论
4. Identification and control of aircraft dynamics using radial basis function networks [C] . Ahmed-Zaid, F., Ioannou, . 1993

机译：使用径向基函数网络识别和控制飞机动力学
5. Self-organizing radial basis function networks for adaptive flight control and aircraft engine state estimation. [D] . Shankar, Praveen. 2007

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7. Robust Position Control of Electro-Hydrostatic Actuator Systems with Radial Basis Function Neural Networks [O] . Jeongju CHOI 2013

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8. Reconfigurable Flight Control Design using a Robust Servo LQR and Radial Basis Function Neural Networks [R] . Burken, John J. 2005

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Dynamically structured radial basis function neural networks for robust aircraft flight control

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