A Generic Model Order Reduction Technique Based On Particle Swarm Optimization (PSO) Algorithm

被引：0

作者：

Salah, Khaled ^{[1
]}

机构：

[1] Mentor Graph Corp, Cairo, Egypt

来源：

17TH IEEE INTERNATIONAL CONFERENCE ON SMART TECHNOLOGIES - IEEE EUROCON 2017 CONFERENCE PROCEEDINGS | 2017年

关键词：

Model Order Reduction; Particle Swarm Optimization; SYSTEMS;

D O I：

暂无

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, a Particle Swarm Optimization based solution is proposed to solve the problem of model order reduction for high order transfer functions. The main advantages of our approach are that it is generic, with relatively small time and reasonable accuracy. Moreover, it preserves both time and frequency responses of the original transfer function.

引用

页码：193 / 196

页数：4

共 10 条

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