Principal whitened gradient-projection algorithm for distribution control

被引：0
|
作者：
Zhang ShiCheng [1 ,2 ]
Sun HuaFei [2 ]
Li ChunHui [2 ]
机构：
[1] Xuzhou Normal Univ, Sch Math, Xuzhou 221116, Peoples R China
[2] Beijing Inst Technol, Dept Math, Beijing 100081, Peoples R China
来源：
SCIENCE CHINA-INFORMATION SCIENCES | 2013年 / 56卷 / 03期
基金：
中国国家自然科学基金;
关键词：
principal whitened gradient; distribution control; Kullback divergence; STOCHASTIC DISTRIBUTIONS; INFORMATION GEOMETRY;
D O I：
10.1007/s11432-011-4500-8
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we use an information geometric algorithm to solve the distribution control problem. The new designed algorithm is called principal whitened gradient-projection algorithm. In the principal natural gradient step, we use principal whitened gradient algorithm to obtain an optimal trajectory of the weight vector on the B-spline manifold from the viewpoint of information geometry. In the projection step, we project the selected points on B onto M. The coordinates of the projections on M give the trajectory of the control input u.
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页码：1 / 8
页数：8
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