Reduced Order Modelling of LTI Systems using Invasive Weed Optimization

被引：0

作者：

Vyas, Divya ^{[1
]}

Parmar, Girish ^{[1
]}

机构：

[1] Rajasthan Tech Univ, Dept Elect Engn, Kota 324010, India

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATION, INSTRUMENTATION AND CONTROL (ICICIC) | 2017年

关键词：

Order reduction; Invasive Weed Optimization; LTI; SISO Systems; Integral Square Error; PADE-APPROXIMATION; REDUCTION;

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：

Reduction of single-input single-output (SISO) continuous time systems into reduced order model (ROM) using invasive weed optimization (IWO) has been presented here. IWO is a novel population based numerical stochastic, derivative free optimization algorithm inspired from the biological growth of weed plants. The objective function is the integral square error (ISE), which has been minimized. The step and frequency responses of both low and high order systems have been compared. Also, the performance of IWO has also been compared with other existing techniques in terms of ISE and transient response parameters. It has been observed that IWO outperforms the existing techniques in literature by giving low value of ISE and better transient response's parameters.

引用

页数：4

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