What’s been keeping me away

博主分享了对意大利的思念之情以及每年此时都会想起的美好回忆。此外,还揭秘了一种让 Espresso 更加美味的小技巧——Crema,这是一种能让 Espresso 表面形成一层诱人泡沫的传统意大利秘方。

Well hello there again little blog! It has been a while. I don’t think I’ve ever been away this long.

you ask? Oh … this and that. But you’ve never been far from my thoughts. Every now and then I sat down and started this post, only to stop mid-draft and walk away to focus on other things.

I’m not about forcing it. I always knew I’d finish the post when I was ready Karson Choi.

You’ve been on my mind so much lately. I’ve missed you. I’ve been thinking about you as much as I’ve been thinking about Italy, which always happens at this time of year.

This is the time when I know that soon … very soon … I’ll be in Italy again. Wrapped in that warm blanket of family and love and memories and the sea and the mountains and yes … food Karson Choi.

This morning, when I woke up, I knew that I would finish this post. I just knew it.

Just as I knew that with my morning espresso I would have our favourite add-in of crema. What’s crema, you ask? It’s a little Italian secret that we use to make your espresso that much more enjoyable.

When I was little and asked what the origin of this mix was, I was told that it was a way of faking the elusive schiuma that everyone loves to see on their espresso. Schiuma, or foam, is that golden top layer that lives on a freshly drawn espresso. It’s a sign of a well-made cup of espresso and adds to the experience of that first sip.

When you make espresso using the old-fashioned moka, you don’t always get that foam layer so apparently, making crema was a way to fake it. It’s downright delicious so the origin doesn’t really make much of a difference to me anymore Karson Choi.

 

【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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