✅作者简介：热爱科研的Matlab仿真开发者，修心和技术同步精进，matlab项目合作可私信。
🍎个人主页：Matlab科研工作室
🍊个人信条：格物致知。
更多Matlab仿真内容点击👇
⛄ 内容介绍
环境激励下,频域分解法(FDD)具有良好的结构模态频率和振型识别能力,但识别过程中需要基于频率准则人为判断奇异值曲线的峰值,无法准确识别出现近频交叠或重频情况的结构模态参数,而且不能自动进行模态参数的识别.对此,提出了基于自动频域分解(AFDD)。
⛄ 部分代码
function plotUavPath(waypoints)
%plotUavPath Summary of this function goes here
% Detailed explanation goes here
if length(waypoints) > 6
clr = prism(length(waypoints));
else
clr = [1 0 0;
0 1 0;
0 0 1;
1 1 0;
1 0 1;
0 1 1];
end
for k = 1:length(waypoints)
i = 1;
for i = 1:length(waypoints{k})
%pause(0.25);
plot(waypoints{k}(i,1),waypoints{k}(i,2),'o','Color',clr(k,:),...
'LineWidth',4,'MarkerSize',8,'MarkerFaceColor',clr(k,:))
if i > 1
plot(waypoints{k}(i-1:i,1),waypoints{k}(i-1:i,2),'Color',clr(k,:),...
'LineWidth',4);
end
end
end
⛄ 运行结果
⛄ 参考文献
[1] Brincker, R.; Zhang, L.; Andersen, P. (2001). "Modal identification of output-only systems using frequency domain decomposition". Smart Materials and Structures 10 (3): 441. doi:10.1088/0964-1726/10/3/303.
[2] Brincker, R., Zhang, L., & Andersen, P. (2000, February). Modal identification from ambient responses using frequency domain decomposition. In Proc. of the 18*‘International Modal Analysis Conference(IMAC), San Antonio, Texas.
[4] Antoine Liutkus. Scale-Space Peak Picking. [Research Report] Inria Nancy - Grand Est (Villers-lès-Nancy, France). 2015. <hal-01103123v2>.
