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approximate modeling中文是什么意思

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  • Control systems in modern automatic engineering are nonlinear , time - changed and indefinite . lt is difficult to model by traditional method , even sometime impossible . under these circumstances we should apply model identification to gain the approximate model of object for effective control , there are many models to be chosen , fuzzy model is one of them , it is put forward with the development of fuzzy control . fuzzy model has characteristics of general approximation and strong nonlinear , it is fit for describing complex , nonlinear systems . to avoid rules expansion when the number of input values are very big . in this paper we apply hierarchical fuzzy model to resolve this problem , we also illustrate it has general approximation to any nonlinear systems . genetic algorithm is a algorithm to help find the best parameters of process . lt has abilities of global optimizing and implicit parallel , it can be generally used for all applications . in our paper we use fuzzy model as predictive model and apply ga to identify fuzzy model ( including hierarchical fuzzy model ) , we made experiments to nonlinear predictive systems and got very good results . the paper contains chapters as below : chapter 1 preface
    現(xiàn)代控制工程中的系統(tǒng)多表現(xiàn)為非線性、時變和不確定性,采用傳統(tǒng)的建模方法比較困難,或者根本無法實現(xiàn),在這種情況下,要實現(xiàn)有效的控制,必須采用模型辨識的方法來獲取對象的近似模型,并加以控制,目前用于系統(tǒng)辨識的模型種類很多,模糊模型是其中的一種,它隨著模糊控制的發(fā)展而被人提出,模糊模型具有萬能逼近和強(qiáng)非線性的特點(diǎn),比較適合于描述復(fù)雜非線性系統(tǒng),為了解決模糊模型在輸入變量較多時規(guī)則數(shù)膨脹的問題,文中引入遞階型模糊模型,并引證這種結(jié)構(gòu)的通用逼近特性。遺傳算法是模擬自然界生物進(jìn)化“優(yōu)勝劣汰”原理的一種參數(shù)尋優(yōu)算法,它具有隱含并行性和全局最優(yōu)化的能力,并且對尋優(yōu)對象的要求比較低,在工程應(yīng)用和科學(xué)研究中,得到了廣泛的應(yīng)用,本文將遺傳算法引入模糊模型的辨識,取得了很好的效果。
  • The innovations of this thesis are as the follows : 1 ) it is analyzed that the lower - order jacobi - anger expansion model for an incoherently distributed source has better accuracy performance than some other approximate source models such as space frequency model , two - point source model , and low - rank approximate model . using the parametric decoupling property of the ja - based model , a novel angular parameter estimator is proposed , which is very robust in case of large angular spreading
    本文從這三個方面開展了空間分布源波達(dá)方向估計研究,創(chuàng)新點(diǎn)包括: 1 )分析了低階jacobi - anger級數(shù)展開近似模型的誤差性能;利用該近似模型的參數(shù)解耦特性,提出了一種新的波達(dá)方向估計器,在大角度擴(kuò)展條件下,該估計器表現(xiàn)非常穩(wěn)健。
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