NDLI: On sliding mode guidance algorithm for based on adaptive fuzzy-neural network approximation

Content Provider	IEEE Xplore Digital Library
Author	Gu Wenjin Zhang Ruchuan Zhao Hongchao
Copyright Year	2008
Description	Author affiliation: Dept. of Number three, Naval Aeronaut. & Astronaut. Univ., Yantai (Gu Wenjin; Zhang Ruchuan)
Abstract	A new approach about design for super-sonic anti-ship missiles guidance laws (GLs) was proposed in this study. Firstly, the normal form of the fourth order state equation for integrated guidance and control loop about the yaw plane was formulated considering target uncertainties and control loop dynamics. Next the proposed GLs adopts the sliding mode control approach with adaptation for known bound of uncertainties based on the fuzzy-neural-network-approximator (FNNA), which can be employed to approximate the unknown nonlinear function of system. And we provide the stability analyses and demonstrate the effectiveness of our scheme. Finally, the simulation results were presented to show the validity of the proposed method.
Starting Page	127
Ending Page	131
File Size	238194
Page Count	5
File Format	PDF
ISBN	9787900719706
DOI	10.1109/CHICC.2008.4605008
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute Of Intelligence M&C Technical Of KMUST
Subject Keyword	Integrated guidance and control loop Missiles Fuzzy control Adaptive systems Uncertainty Navigation Fuzzy-neural-network Nonlinear dynamical systems Approximation methods Sliding mode control Guidance law
Content Type	Text
Resource Type	Article

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