Further results for systems with repeated scalar nonlinearities

被引：21

作者：

Chu, YC ^{[1
]}

机构：

[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore

来源：

IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 2001年 / 46卷 / 12期

关键词：

diagonally dominant matrices; integral quadratic constraints; linear matrix inequalities; M-matrices; model reduction; recurrent neural networks; Stieltjes matrices;

D O I：

10.1109/9.975515

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The class of nonlinear systems described by a discrete-time state-equation containing a repeated scalar nonlinearity is considered. This note sharpens several previous results on the performance synthesis and model reduction for such systems. Extensions to the case that the nonlinearity is not an odd function are also discussed.

引用

页码：2031 / 2035

页数：5

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