DocumentCode
2260128
Title
Capture regions of GIPN guidance laws: a least square SVM approach
Author
Tyan, Feng
Author_Institution
Dept. of Aerosp. Eng., Tamkang Univ., Taipei
fYear
2006
fDate
14-16 June 2006
Abstract
In this paper, the expression of capture region of the general ideal proportional navigation (GIPN) missile guidance law is determined by a powerful classifier, least square support vector machine (LSSVM). To reduce the computational burden, an approximation of the Gaussian radial basis function is adopted to obtain the corresponding nonlinear feature mapping function. Through numerous numerical examples, it shows that the proposed technique is adequate for the determination of capture region. All the analysis of the relative dynamics between missile and target are performed in a line of sight (LOS) fixed natural coordinate. To have the capture region ready for LSSVM, all the state variables are transformed into the modified polar variables form. In addition, to reduce the number of independent variables, these modified polar variables are further non-dimensionalized. For simplicity, we assume that target´s input acceleration is subject to independent saturation, while missile´s input acceleration is subject to magnitude saturation
Keywords
Gaussian processes; missile guidance; radial basis function networks; support vector machines; target tracking; GIPN missile guidance laws; Gaussian radial basis function; general ideal proportional navigation; least square SVM; nonlinear feature mapping function; support vector machine; Acceleration; Computer vision; Kernel; Least squares approximation; Least squares methods; Missiles; Navigation; Power engineering computing; Support vector machine classification; Support vector machines;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2006
Conference_Location
Minneapolis, MN
Print_ISBN
1-4244-0209-3
Electronic_ISBN
1-4244-0209-3
Type
conf
DOI
10.1109/ACC.2006.1655378
Filename
1655378
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