Volume 37, Number 5, October 2019
|Page(s)||952 - 961|
|Published online||14 January 2020|
Research of Mapping Element Space Method for Uncertain Lurie System Stability Diagnosis
School of Astronautics, Northwestern Polytechnical University, Xi'an 710072, China
A new diagnosis method of Lurie system stability by using Chaotic time series data was proposed in order to solve stability analysis of flight control system with fault and uncertain. Firstly, the reasons for the instability of the nonlinear system of Ruri leaf was analyzed by using the small gain theory and linear matrix inequalities in the robust control theory. And the stability conditions of Rui leaf system under the condition of uncertainty and failure were proved theoretically. In order to quantify the stability of nonlinear systems in complex Ruri leaves, based on the theory of phase space reconstruction, the nonlinear Ruri system with continuous discrete characteristics was converted into an approximate time discrete equation, mapping it to a low dimensional primitive space, by introducing Q Gauss function into Kernel function, the generalization ability of neural networks are enhanced, realizing the stability analysis method based on the characteristic of primitive migration, which is suitable for various fault and uncertainty conditions, and the relative quantized stability norm can be given. The simulation shows that the present method can effectively solve the stability analysis and determination of flight control system under various factors.
Key words: flight control / Lurie system / mapping element space / self recurrent neural network / stability analysis
关键字 : 飞行控制 / lurie系统 / 相空间理论 / 自递归神经网络 / 稳定性度量
© 2019 Journal of Northwestern Polytechnical University. All rights reserved.
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