期刊論文
| 學年 | 96 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2008-01-01 |
| 作品名稱 | Discrete Modelling of Continuous-Time Systems Having Interval Uncertainties Using Genetic Algorithms |
| 作品名稱（其他語言） | |
| 著者 | 許陳鑑 |
| 單位 | 淡江大學電機工程學系 |
| 出版者 | Tokyo: Denshi Jouhou Tsuushin Gakkai |
| 著錄名稱、卷期、頁數 | IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E91-A(1), pp.357-364 |
| 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. |
| 關鍵字 | discrete modelling; genetic algorithms; uncertain continuous-time systems; interval plant; discretization; model conversion; sampled-data systems |
| 語言 | en |
| ISSN | 0916-8508 |
| 期刊性質 | |
| 收錄於 | SCI EI |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | |
| 國別 | JPN |
| 公開徵稿 | |
| 出版型式 | |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/60931 ) |