非線性hammerstein模型的辨識(shí)【畢業(yè)論文】

1、本科畢業(yè)設(shè)計(jì)本科畢業(yè)設(shè)計(jì)（2020屆）屆）非線性Hammerstein模型的辨識(shí)所在學(xué)院專業(yè)班級(jí)電氣工程及其自動(dòng)化學(xué)生姓名學(xué)號(hào)指導(dǎo)教師職稱完成日期年月目錄目錄.............................................................................................................................................

2、...................21前言................................................................................................................................................................31.1選題背景.............................

3、.................................................................................................................31.2Hammerstein模型研究現(xiàn)狀......................................................................................

4、..........................41.3粒子群優(yōu)化算法PSO算法................................................................................................................51.4Matlabsimulink簡(jiǎn)介..............................................

5、............................................................................51.5本章小結(jié)........................................................................................................................................

6、.....62Hammerstein模型......................................................................................................................................72.1Hammerstein模型的分析..............................................

7、.......................................................................72.2Hammerstein模型的應(yīng)用....................................................................................................................82.2.1伺服系統(tǒng)中的H

8、ammerstein非線性模型...............................................................................82.2.2MAF傳感器的Hammerstein模型的表示............................................................................112.3本章小結(jié)............

9、................................................................................................................................123最小二乘和粒子群優(yōu)化算法.............................................................................

10、..........................................143.1最小二乘法........................................................................................................................................143.1.1最小二乘估計(jì)算法.................

11、................................................................................................143.1.2遞推最小二乘算法.............................................................................................................

12、....153.2.1基本PSO原理.......................................................................................................................173.2.2.PSO算的些特點(diǎn)...................................................................

13、..................................................193.3PSO算法的改進(jìn)................................................................................................................................193.3.1慣性權(quán)重法.................

14、............................................................................................................203.3.2帶收縮因子的PSO算法..............................................................................................

15、..........213.3.3模糊自適應(yīng)慣性權(quán)重............................................................................................................213.3.4快速收斂PSO算法......................................................................

16、.........................................223.4PSO算法的應(yīng)用...............................................................................................................................254Hammerstein模型參數(shù)辨識(shí)...................

17、......................................................................................................274.1基于MATLAB軟件建立Hammerstein模型及其參數(shù)設(shè)置.........................................................274.2遞推最小二乘算法辨識(shí)..........

18、..........................................................................................................284.3粒子群優(yōu)化算法辨識(shí)....................................................................................................

19、....................294.3.1傳統(tǒng)PSO優(yōu)化算法辨識(shí)........................................................................................................294.3.2改進(jìn)的PSO算法辨識(shí).............................................................

20、...............................................305Matlab仿真實(shí)驗(yàn)..........................................................................................................................................335.1概述...............

21、.....................................................................................................................................335.2不同噪信比下的最小二乘和PSO算法的辨識(shí)比較............................................................

22、...........345.3混合PSO算法和傳統(tǒng)PSO算法的收斂性比較..............................................................................396總結(jié)....................................................................................................

23、..........................................................42參考文獻(xiàn)..........................................................................................................................................................43

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