A new neural architecture for homing missile guidance

Author

Balakrishnan, S.N. ; Biega, Victor

Author_Institution

Dept. of Mech. & Aerosp. Eng., Missouri Univ., Rolla, MO, USA

Volume

3

fYear

1995

fDate

21-23 Jun 1995

Firstpage

2148

Abstract

We present a new neural architecture which imbeds dynamic programming solutions to solve optimal target-intercept problems. They provide feedback guidance solutions, which are optimal with any initial conditions and time-to-go, for a 2D scenario. The method discussed in this study determines an optimal control law for a system by successively adapting two networks - an action and a critic network. This method determines the control law for an entire range of initial conditions; it simultaneously determines and adapts the neural networks to the optimal control policy for both linear and nonlinear systems. In addition, it is important to know that the form of control does not need to be known in order to use this method

Keywords

dynamic programming; feedback; missile guidance; neural net architecture; neurocontrollers; optimal control; feedback guidance; homing missile guidance; imbeds dynamic programming; neural architecture; neural networks; optimal control; target-interception; Adaptive control; Aerospace engineering; Design engineering; Dynamic programming; Missiles; Neurocontrollers; Nonlinear systems; Open loop systems; Optimal control; Power engineering and energy;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, Proceedings of the 1995

Conference_Location

Seattle, WA

Print_ISBN

0-7803-2445-5

Type

conf

DOI

10.1109/ACC.1995.531278

Filename

531278