function [m,fit]=BJoutline(u,z,ts,N,nns,nnt)
%獲取模型結構參數范圍
nbs=nns(1);nbt=nnt(1);
ncs=nns(2);nct=nnt(2);
nds=nns(3);ndt=nnt(3);
nfs=nns(4);nft=nnt(4);
nk=nns(5);
if (nbt-nbs+1)*(nct-ncs+1)*(ndt-nds+1)*(nft-nfs+1)>150
    return 
end
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%獲取實驗數據，及數據預處理
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servo=iddata(z,u,ts);
servo.InputName='position';
servo.OutputName='distance';
ze=servo(1:N);
%figure, plot(ze(1:1000))
%ze=dtrend(ze);
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%模型檢驗及最優模型選擇
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temp=0;
for k1=nbs:nbt
    for k2=ncs:nct
        for k3=nds:ndt
            for k4=nfs:nft
                m11=bj(ze,[k1 k2 k3 k4 nk]);     %采用基于最小二乘法估計的ARMAX模型辨識
                [yh,fit]=compare(ze,m11);       %計算不同結構模型的的適應度
                if fit>temp
                    temp=fit;m=m11;             %選擇適應度最高的模型
                    nn=[k1 k2 k3 k4 nk];
                end
                clc;
            end
        end
    end
end
%figure, compare(ze,m);                          %模型檢驗
[yh,fit]=compare(ze,m);