Which messes with some folks

探讨了燕麦对于特定人群可能引发的问题,并提供了一种使用藜麦片、藜麦面粉、高粱面粉等替代原料制作的无麸质燕麦曲奇食谱。

My last cookie post stirred up a veritable stew of feelings. From oat-loving high fives and boogie till the cows come home oatmeal cookie bliss, to very sad, That's okay, I'll sit this one out in the corner moping. Because oatmeal? It's not for everyone. Apparently, oats can be unkind to certain, sensitive celiac tummies. They're high in fiber. 

Some believe the trouble starts with its globulin or legume-like protein called avenalin. Some think it's the soluble fiber factor. Others believe that the prolemine in oats called avenin triggers a celiac-like response. The debate rages on. And I'm no scientist, I'm sorry to tell you, so I'll sit this one out.

But of course I had to play around with the oatmeal cookie recipe. I couldn't leave my oat-shunning peeps out in the cold without a chewy golden cookie of their own. I rolled up my sleeves and got to work. I stirred up some quinoa flakes, quinoa flour, sorghum flour, organic brown sugar, and olive oil and vegan chocolate chips and guess what?

function [tlslice,rxa] = readshdTLr(filename,rdt) % Plot a single TL slice fora the shade file % % Usage % plotlttr(filename,rdt) % Where % $ filename is the shadefile (with extension) % $ rdt is the receiver depth in m % if rdt is a vector then one plot is generated for each element %habp global units disp(' PlotLtr uses first bearing and source depth in the shade file check OK') itheta = 1; isd = 1; %read [PlotTitle, freq, Pos, pressure] = read_shd(filename); rxa = Pos.r / 1000.0; %convert to km pressure = pressure(itheta,isd,:,:); tlt = abs(pressure); %this is really the negative of IL tlt(tlt == 0) = max(max(tlt))/1e10; %replaces zero by a small number tlt = -20.0 * log10(tlt); %so there's no error when we take the log %interpolate the IL field at the receiver depth %note interpl won't interpolate a vector with only 1 element if (length(Pos.r_z) == 1) tlslice = squeeze(tlt(1,:)); rdt = Pos.r_z(1); else TLtemp = squeeze(tlt); %need to avoid dimensional problems when TLT has 1,2,or 3 dimensions tlslice = interp1(Pos.r_z,TLtemp,rdt); end %hh = plot(rxa,tlslice,'b'); % set(gca,'YDir','Reverse'); %because view messes up the zoom feature xlabel('Range(km)'); ylabel('TL(dB)'); title( [deblank(PlotTitle) ' [ Freq = ' num2str(freq) ' Hz Sz = ' num2str(Pos.s_z(isd)) ' m ]']); % set(hh,'LineWidth',2); % generate legend for ird = 1:length(rdt) legendstr(ird,:) = [' Rz = ' num2str(rdt(ird)) ' m']; end legend(legendstr,'Location','Best'); legend('boxoff'); drawnow; 将代码改成在visualstudio里生成dll和lib的代码
07-26
【四旋翼无人机】具备螺旋桨倾斜机构的全驱动四旋翼无人机:建模与控制研究(Matlab代码、Simulink仿真实现)内容概要:本文围绕具备螺旋桨倾斜机构的全驱动四旋翼无人机展开研究,重点探讨其系统建模与控制策略,结合Matlab代码与Simulink仿真实现。文章详细分析了无人机的动力学模型,特别是引入螺旋桨倾斜机构后带来的全驱动特性,使其在姿态与位置控制上具备更强的机动性与自由度。研究涵盖了非线性系统建模、控制器设计(如PID、MPC、非线性控制等)、仿真验证及动态响应分析,旨在提升无人机在复杂环境下的稳定性和控制精度。同时,文中提供的Matlab/Simulink资源便于读者复现实验并进一步优化控制算法。; 适合人群:具备一定控制理论基础和Matlab/Simulink仿真经验的研究生、科研人员及无人机控制系统开发工程师,尤其适合从事飞行器建模与先进控制算法研究的专业人员。; 使用场景及目标:①用于全驱动四旋翼无人机的动力学建模与仿真平台搭建;②研究先进控制算法(如模型预测控制、非线性控制)在无人机系统中的应用;③支持科研论文复现、课程设计或毕业课题开发,推动无人机高机动控制技术的研究进展。; 阅读建议:建议读者结合文档提供的Matlab代码与Simulink模型,逐步实现建模与控制算法,重点关注坐标系定义、力矩分配逻辑及控制闭环的设计细节,同时可通过修改参数和添加扰动来验证系统的鲁棒性与适应性。
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