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所在平台: Udemy |
课程主页: https://www.udemy.com/course/system-dynamics-and-controls/
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课程名称：系统动力学与控制 课程概述：系统动力学与控制课程为学生提供了机械系统控制和数学建模的精彩入门。您将学习如何生成用于建模物体运动的方程式。以摆动的摆为例，完成本课程后，您将能够使用微分方程和矩阵来建模这种运动。除此之外，您还将能够分析系统稳定性，计算误差，使用拉普拉斯变换解决初值问题等等。课程内容包括： - 拉普拉斯变换 - 传递函数 - 响应方程 - 机械与电气系统的运动方程 - 一阶响应与二阶响应 - 状态空间表示 - 方框图简化 - 稳定性与Routh标准 - 稳态误差分析 - 根轨迹 此外，对于希望使用MATLAB的学员，本课程提供了许多示例和应用，以帮助学生更好地理解内容，而不仅仅是看公式。 适合人群：如果您是以下人群之一，欢迎报名本课程： - 正在上相关课程并需要额外示例和解释的学生 - 准备工程基础考试并需复习系统响应和方框图的考生 - 有兴趣学习新知识的好奇者 先决知识：课程要求有微分方程和线性代数的基础，了解动力学的知识也是必要的。虽然MATLAB的使用对学习有帮助，但并不是必需的。 课程格式：本课程避免使用PowerPoint幻灯片，而是以手写讲解的形式进行，以增强学习效果。讲座时间较短，通常为12-15分钟，便于消化。示例视频易于查找，让学生能够选择感兴趣的内容观看。虽然推荐使用《控制系统工程》一书，但并非绝对必要；这本书提供了更多的例题和练习，有助于更深入的理解。 课程准备：本课程将为您后续的机械振动、反馈控制系统等课程打下扎实的基础，同时也会加深您对微分方程及其在系统行为建模中应用的理解。您将在研究生水平的主题（如卡尔曼滤波）中受益匪浅。 赶快报名吧！
What is System Dynamics and Controls about? This course provides a great introduction to controls and mathematical modeling of mechanical systems. What does that mean? Well, you will learn how to generate equations that can be used to model a body's motion. Think of a pendulum swinging - after this course you will be able to model this type of motion using differential equations and matrices. On top of that, you'll be able to analyze system stability, calculate how much error is present, use Laplace transforms to solve initial value problems and much, much more! Here's some of what you will learn: Laplace transformsTransfer functionsResponse equationsEquations of motion of mechanical and electrical systemsFirst order responseSecond order responseState space representationBlock diagram reductionStability and Routh's CriterionSteady state error analysisRoot locusAnd if that's not enough, for those wishing to use MATLAB, examples and applications are provided throughout the course. This helps gives more of a visual understanding of what's going on besides just looking at equations. Who should enroll? This course is perfect for you if: you are a current student in a similar class and are needing additional examples/explanationsyou are studying for the Fundamentals of Engineering exam and need a review of system response and block diagramsyou are just curious and want to learn something newIs any prior knowledge needed? Yes! The typical math requirement for this course is Differential Equations and Linear Algebra. Dynamics...you need to know that too, as we will be modeling bodies in motion. MATLAB is helpful but not required - I kept all the MATLAB examples separate for students not interested in that material. What's the format of the course? Do I need a book? Let me just say that I hate engineering courses taught with PowerPoint slides. Due to this, you will not find slides here. I think people learn better when they have to write the material. That means the majority of my lectures are handwritten. We will work through many examples and I don't assume you know more than you do. We'll start with the basics and build on them. You'll also get a brief outline of notes to help you follow along and to help minimize the length of the videos. Speaking of video length.am I the only one who doesn't like watching hour-long lecture videos? I didn't think so. To eliminate that frustration my lectures are broken up into shorter segments, typically 12-15 minutes. And if you are here for examples, I made them easy to find. Almost all the examples are in their own videos, that way you can look through the notes and pick and choose which ones you want to watch. Would it be helpful to have a book? Yeah probably. Is it absolutely necessary? Probably not. The benefit of having a book is having more examples and problems to work on your own. The book I recommend and always use for this course is Control Systems Engineering by Nise. It gets good reviews from students and it provides a solid foundation for more advanced controls classes. Will this prepare me for other classes? Most definitely! The fundamental knowledge gained in this course will be useful in classes such as Mechanical Vibrations, Feedback Control Systems, and others. In addition, you'll gain a greater understanding of differential equations and how they are used to model system behavior. The state space info will be helpful in graduate-level topics such as Kalman filtering. What are you waiting for? Enroll today!
