Improved Algorithm of Model Reduction of Large Scale Internal System

摘要：

Recently, genetic algorithm for generating low order models for large-scale interval systems using simplified polynomial improved algorithm is proposed. New algorithm are developed for obtaining the numerator and denominator polynomials of the reduced order model which also retain the steady state response characteristics of the original high order interval system in its low order model, unlike existing methods. The method is computationally simple avoiding the necessity of formation of long Routh-type differentiation arrays and reciprocal transformations and always retains stability of the original system in the low-order models. Typical numerical illustrating examples are provided by using the proposed method.

关键词： control system interval system genetic algorithm large-scale system modeling reduced order models

作者: Yan Zhe Pengfei Bi Zhiqiang Zhang Liwei Niu

作者单位: School of Automation Harbin University of Science and Technology Harbin China

会议类型: 国际会议

会议名称: The 6th International Forum on Strategic Technology(IFOST 2011)(第六届国际战略技术论坛)

会议地点: 哈尔滨

会议语种:英文

页码: 716-719

在线出版日期: 2011-08-22（万方平台首次上网日期，不代表论文的发表时间）