Stability Analysis for Delayed Neural Networks Based on A Sufficient and Necessary Condition on Polynomial Inequalities*

2021 ◽  
Author(s):  
Fei Long ◽  
Yong He
Keyword(s):  
Neural Networks ◽  
Stability Analysis ◽  
Necessary Condition ◽  
Delayed Neural Networks ◽  
Polynomial Inequalities ◽  
Sufficient And Necessary Condition

Coning motion stability of spinning missiles with strapdown seekers

2016 ◽  
Vol 120 (1232) ◽  
pp. 1566-1577 ◽  
Author(s):  
S. He ◽  
D. Lin ◽  
J. Wang
Keyword(s):  
Stability Analysis ◽  
Scaling Factor ◽  
Guidance System ◽  
Necessary Condition ◽  
Stability Conditions ◽  
Motion Stability ◽  
Model Derivation ◽  
The Stability ◽  
Stability Issues ◽  
Sufficient And Necessary Condition

ABSTRACTThis paper investigates the problem of coning motion stability of spinning missiles equipped with strapdown seekers. During model derivation, it is found that the scaling factor error between the strapdown seeker and the onboard gyro introduces an undesired parasitic loop in the guidance system and, therefore, results in stability issues. Through stability analysis, a sufficient and necessary condition for the stability of spinning missiles with strapdown seekers is proposed analytically. Theoretical and numerical results reveal that the scaling factor error, spinning rate and navigation ratio play important roles in stable regions of the guidance system. Consequently, autopilot gains must be checked carefully to satisfy the stability conditions.

Triple-integral method for the stability analysis of delayed neural networks

2013 ◽  
Vol 99 ◽  
pp. 283-289 ◽  
Author(s):  
Zixin Liu ◽  
Jian Yu ◽  
Daoyun Xu ◽  
Dingtao Peng
Keyword(s):  
Neural Networks ◽  
Stability Analysis ◽  
Integral Method ◽  
Delayed Neural Networks ◽  
The Stability
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