Discrete modelling of continuous-time systems having interval uncertainties using genetic algorithms

Chen Chien Hsu*, Tsung Chi Lu, Heng Chou Chen

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

摘要

In this paper, an evolutionary approach is proposed to obtain a discrete-time state-space interval model for uncertain continuoustime systems having interval uncertainties. Based on a worst-case analysis, the problem to derive the discrete interval model is first formulated as multiple mono-objective optimization problems for matrix-value functions associated with the discrete system matrices, and subsequently optimized via a proposed genetic algorithm (GA) to obtain the lower and upper bounds of the entries in the system matrices. To show the effectiveness of the proposed approach, roots clustering of the characteristic equation of the obtained discrete interval model is illustrated for comparison with those obtained via existing methods.

原文英語
頁(從 - 到)357-364
頁數8
期刊IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
E91-A
發行號1
DOIs
出版狀態已發佈 - 2008 一月 1

ASJC Scopus subject areas

  • 訊號處理
  • 電腦繪圖與電腦輔助設計
  • 電氣與電子工程
  • 應用數學

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