Discrete Modelling of Continuous-Time Systems Having Interval Uncertainties Using Genetic Algorithms

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 期刊論文 > Item 987654321/60931

請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/60931

題名:	Discrete Modelling of Continuous-Time Systems Having Interval Uncertainties Using Genetic Algorithms
作者:	許陳鑑
貢獻者:	淡江大學電機工程學系
關鍵詞:	discrete modelling;genetic algorithms;uncertain continuous-time systems;interval plant;discretization;model conversion;sampled-data systems
日期:	2008-01
上傳時間:	2011-10-15 01:06:42 (UTC+8)
出版者:	Tokyo: Denshi Jouhou Tsuushin Gakkai
摘要:	In this paper, an evolutionary approach is proposed to obtain a discrete-time state-space interval model for uncertain continuous-time 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.
關聯:	IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E91-A(1), pp.357-364
DOI:	10.1093/ietfec/e91-a.1.357
顯示於類別:	[電機工程學系暨研究所] 期刊論文

文件中的檔案:

沒有與此文件相關的檔案.

在機構典藏中所有的資料項目都受到原著作權保護.

TAIR相關文章