向魯棒非線性控制挑戰(zhàn)艾倫泰勒保蒙美國亞特蘭大0082號格魯吉亞工學(xué)院電子和計算機(jī)研究部門視覺跟蹤問題。視覺跟蹤是在控制...魯棒優(yōu)化設(shè)計的多目標(biāo)遺傳算法摘要。
外文翻譯棒材Tag內(nèi)容描述:
1、國際性刊物 魯棒非線性控制 2000; 10:875覺跟蹤問題 :向魯棒非線性控制挑戰(zhàn) 艾倫 泰勒保蒙 美國亞特蘭大 0082號格魯吉亞工學(xué)院電子和計算機(jī)研究部門 視覺跟蹤問題 :向魯棒非線性控制挑戰(zhàn) 摘要 : 視覺跟蹤是在控制活動圖象中關(guān)鍵性問題之一。因為模型中存在不可靠性和噪音信號、使它變成魯棒控制中一挑戰(zhàn)性問題。在此論文中、我們將概略一些涉及的關(guān)鍵問題和一些可能的解答方案,我們想需要聯(lián)系機(jī)器視覺和多刻度圖像處理技術(shù)來實現(xiàn)這個工作任務(wù)。 特別地,我們會概略一些必需的方法例如:計算機(jī)視覺和圖像處理包含光學(xué)流程圖在內(nèi)、活動的。
2、國際性刊物 魯棒非線性控制 2000; 10:875覺跟蹤問題 :向魯棒非線性控制挑戰(zhàn) 艾倫 泰勒保蒙 美國亞特蘭大 0082號格魯吉亞工學(xué)院電子和計算機(jī)研究部門 視覺跟蹤問題 :向魯棒非線性控制挑戰(zhàn) 摘要 : 視覺跟蹤是在控制活動圖象中關(guān)鍵性問題之一。因為模型中存在不可靠性和噪音信號、使它變成魯棒控制中一挑戰(zhàn)性問題。在此論文中、我們將概略一些涉及的關(guān)鍵問題和一些可能的解答方案,我們想需要聯(lián)系機(jī)器視覺和多刻度圖像處理技術(shù)來實現(xiàn)這個工作任務(wù)。 特別地,我們會概略一些必需的方法例如:計算機(jī)視覺和圖像處理包含光學(xué)流程圖在內(nèi)、活動的。
3、魯棒優(yōu)化設(shè)計的多目標(biāo)遺傳算法 摘要: 現(xiàn)實 世界中的多目標(biāo)工程 的優(yōu)化 設(shè)計問題往往 存在著不可控制的 參數(shù)變化。解決這些問題的目的是為了獲得 良好的 解決方案 ,并就目的和可行性而言,這些解決方案應(yīng)該盡量的好,與此同時對于參數(shù)的變化 是 不敏感 的 。這樣的解決方法可以被稱為 魯棒最優(yōu)解決方案 。為了調(diào)查研究最優(yōu)方案的性能和 魯棒性 之間的權(quán)衡關(guān)系,我們提出了一個新的健全的多目標(biāo)的遺傳算法來優(yōu)化兩個目標(biāo):一個是適應(yīng) 度 值,另外一個是 魯棒性 指數(shù), 在多目標(biāo)和原始優(yōu)化問題 的 可行性方面 ,適應(yīng)度值是 一種評定設(shè)計的解。
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6、魯棒優(yōu)化設(shè)計的多目標(biāo)遺傳算法 摘要: 現(xiàn)實 世界中的多目標(biāo)工程 的優(yōu)化 設(shè)計問題往往 存在著不可控制的 參數(shù)變化。解決這些問題的目的是為了獲得 良好的 解決方案 ,并就目的和可行性而言,這些解決方案應(yīng)該盡量的好,與此同時對于參數(shù)的變化 是 不敏感 的 。這樣的解決方法可以被稱為 魯棒最優(yōu)解決方案 。為了調(diào)查研究最優(yōu)方案的性能和 魯棒性 之間的權(quán)衡關(guān)系,我們提出了一個新的健全的多目標(biāo)的遺傳算法來優(yōu)化兩個目標(biāo):一個是適應(yīng) 度 值,另外一個是 魯棒性 指數(shù), 在多目標(biāo)和原始優(yōu)化問題 的 可行性方面 ,適應(yīng)度值是 一種評定設(shè)計的解。
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9、翻譯部分 英文原文 Additive Manufacturing: Polymers applicable for Laser Sintering (LS) Abstract Additive Manufacturing (AM) is close to become a production technique changing the way of part fabrication in f。
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