Applied Control Systems 1: autonomous cars: Math + PID + MPC

所在平台: Udemy

课程主页: https://www.udemy.com/course/applied-systems-control-for-engineers-modelling-pid-mpc/

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**课程名称:** 应用控制系统 1:自动驾驶汽车:数学 + PID + MPC **课程概览:** 本课程将带您深入了解控制系统的强大技术,掌握设计和控制自动驾驶汽车等自动化系统的核心原理。您将学习: * **数学模型:** 状态空间系统和运动方程的建立,理解自动驾驶汽车的数学基础。 * **PID控制器:** 设计并应用PID控制器,实现对磁悬浮列车等系统的精确控制,使其能够应对随机下落的物体。 * **模型预测控制器 (MPC):** 设计并应用MPC,在简单的直道测道变道场景下,对自动驾驶汽车进行精确控制。 通过本课程,您将全面掌握建模、PID和MPC的原理与应用,并能在直觉、数学和编码三个层面熟练运用这些技术,为未来在其他工程领域应用打下坚实基础。

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The world is changing! The technology is changing! The advent of automation in our societies is spreading faster than anyone could have anticipated. At the forefront of our technological progress is autonomy in systems. Self driving cars and other autonomous vehicles are likely to be part of our every day lives. How would you like to understand and be able design these autonomous vehicles? How would you like to understand Mathematics behind it?Welcome! In this course, you will be exposed to one of the most POWERFUL techniques there are, that are able to guide and control systems precisely and reliably.You are going to DESIGN, MASTER and APPLY:mathematical models in the form of state-space systems and equations of motiona PID controller to a simple magnetic train that needs to catch objects that randomly fall from the sky a Model Predictive Controller (MPC) to an autonomous car in a simple lane changing maneuver on a straight road at a constant forward speed. You will LEARN the fundamentals and the logic of Modelling, PID and MPC that will allow you to apply it to other systems you might encounter in the future.You need 3 things when solving an Engineering problem: INTUITION, MATHEMATICS, CODING! You can't choose - you really need them all. After this course, you will master Modelling, PID and MPC in all these 3 ways. That's a promise!I'm very excited to have you in my course and I can't wait to teach you what I know.Let's get started!

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