Please use this identifier to cite or link to this item: http://rportal.lib.ntnu.edu.tw:80/handle/77345300/32102
Title: Discrete Modelling of Continuous-Time Systems Having Interval Uncertainties Using Genetic Algorithms
Authors: 國立臺灣師範大學電機工程學系
Chen-Chien Hsu
Tsung-Chi Lu
Heng-Chou Chen
Issue Date: 1-Jan-2008
Publisher: Institute of Electronics, Information and Communication Engineers
Abstract: 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.
URI: http://rportal.lib.ntnu.edu.tw/handle/77345300/32102
ISSN: 0916-8508
Other Identifiers: ntnulib_tp_E0607_01_008
Appears in Collections:教師著作

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