Please use this identifier to cite or link to this item:
標題: Structure-specified IIR filter and control design using real structured genetic algorithm
作者: Tsai, C.W.
Huang, C.H.
Lin, C.L.
關鍵字: Genetic algorithm;Performance;Filter design;Control design;optimization;rules
Project: Applied Soft Computing
期刊/報告no:: Applied Soft Computing, Volume 9, Issue 4, Page(s) 1285-1295.
This paper develops an innovative optimization method, real structured genetic algorithm (RSGA), which combines the advantages of traditional real genetic algorithm (RGA) with structured genetic algorithm (SGA), and applies it for digital filter and control design optimization problems. For infinite impulse response (IIR) filter designs, the proposed approach fulfills all types of filters by minimizing the order of the filter and the absolute error of both passband and stopband. Both system structure and parametric variables are simultaneously optimized via the proposed chromosome scheme. The approach has also been extended to deal with robust control design problems. The approach offers an effective method for designing an optimal controller with robust stability. Simulation and experimental results conveys the excellence of the proposed algorithm over traditional approaches in convergence speed, performance, cost effectiveness, and attains simpler structure. (C) 2009 Elsevier B. V. All rights reserved.
ISSN: 1568-4946
DOI: 10.1016/j.asoc.2009.04.001
Appears in Collections:電機工程學系所

Show full item record

Google ScholarTM




Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.