A neural network architecture for solving the algebraic matrix Riccati equation

被引：0

作者：

Ham, FM ^{[1
]}

Collins, EG ^{[1
]}

机构：

[1] FLORIDA INST TECHNOL,ELECT ENGN PROGRAM,MELBOURNE,FL 32901

来源：

APPLICATIONS AND SCIENCE OF ARTIFICIAL NEURAL NETWORKS II | 1996年 / 2760卷

关键词：

adaptive control; convergence; fixed-architecture control; homotopy; Riccati equation; steepest descent; structured neural network;

D O I：

10.1117/12.235921

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

引用

页码：294 / 301

页数：8

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