Global Analyses of Nonlinear Microwave Circuits
碩士 === 國立高雄應用科技大學 === 電機工程系碩士班 === 92 === In this paper, harmonic balance techniques, simulated annealing algorithms and genetic algorithms are applied to the analyses of nonlinear microwave circuits, respectively. The harmonic balance technique sometimes gets stuck in local optimum solution and it...
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ndltd-TW-092KUAS04420202015-10-13T16:22:46Z http://ndltd.ncl.edu.tw/handle/80265822221743980737 Global Analyses of Nonlinear Microwave Circuits 非線性微波電路之全域分析 Chang-Hung Tsai 蔡昌宏 碩士 國立高雄應用科技大學 電機工程系碩士班 92 In this paper, harmonic balance techniques, simulated annealing algorithms and genetic algorithms are applied to the analyses of nonlinear microwave circuits, respectively. The harmonic balance technique sometimes gets stuck in local optimum solution and it always requires gradient operations in iteration procedures. Simulated annealing algorithms and genetic algorithms are stochastic approaches and are expected to have the capability in finding global solutions of nonlinear microwave circuits. They do not require a suitable guess of an initial solution and no gradient operations are required in iteration procedures. Based on these advantages, simulated annealing algorithms and genetic algorithms are applied to the analyses of nonlinear microwave circuits. Both of these two algorithms are frequently used in optimization problems. However, there are scarce studies involved in “analyzing” nonlinear problems using these two algorithms. In this study, these two algorithms are applied to the “analyses” of nonlinear microwave circuits. Their performances and characteristics are also compared with traditional harmonic balance techniques. Chun-Lin Lu Kun-Chou Lee 盧春林 李坤洲 2004 學位論文 ; thesis 69 zh-TW |
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碩士 === 國立高雄應用科技大學 === 電機工程系碩士班 === 92 === In this paper, harmonic balance techniques, simulated annealing algorithms and genetic algorithms are applied to the analyses of nonlinear microwave circuits, respectively. The harmonic balance technique sometimes gets stuck in local optimum solution and it always requires gradient operations in iteration procedures. Simulated annealing algorithms and genetic algorithms are stochastic approaches and are expected to have the capability in finding global solutions of nonlinear microwave circuits. They do not require a suitable guess of an initial solution and no gradient operations are required in iteration procedures. Based on these advantages, simulated annealing algorithms and genetic algorithms are applied to the analyses of nonlinear microwave circuits. Both of these two algorithms are frequently used in optimization problems. However, there are scarce studies involved in “analyzing” nonlinear problems using these two algorithms. In this study, these two algorithms are applied to the “analyses” of nonlinear microwave circuits. Their performances and characteristics are also compared with traditional harmonic balance techniques.
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author2 |
Chun-Lin Lu |
author_facet |
Chun-Lin Lu Chang-Hung Tsai 蔡昌宏 |
author |
Chang-Hung Tsai 蔡昌宏 |
spellingShingle |
Chang-Hung Tsai 蔡昌宏 Global Analyses of Nonlinear Microwave Circuits |
author_sort |
Chang-Hung Tsai |
title |
Global Analyses of Nonlinear Microwave Circuits |
title_short |
Global Analyses of Nonlinear Microwave Circuits |
title_full |
Global Analyses of Nonlinear Microwave Circuits |
title_fullStr |
Global Analyses of Nonlinear Microwave Circuits |
title_full_unstemmed |
Global Analyses of Nonlinear Microwave Circuits |
title_sort |
global analyses of nonlinear microwave circuits |
publishDate |
2004 |
url |
http://ndltd.ncl.edu.tw/handle/80265822221743980737 |
work_keys_str_mv |
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