Get ready to dive into the world of UAV drones with this completely free course from Udemy on Theetay! Learn how to model and control a UAV drone using 3D dynamics, Model Predictive Control, and feedback linearization. This course will cover topics like rotation and transfer matrices, Newton-Euler equations, Runge-Kutta integration, and propeller dynamics. Explore powerful control techniques and gain a competitive edge in the field of UAV drone engineering. Start learning today and unlock a world of possibilities. This is just one of hundreds of free courses available on Theetay from platforms like Udemy, Udacity, Coursera, MasterClass, NearPeer, and more.
Tag: mark
Applied Control Systems 2: autonomous cars (360 tracking)
Dive deep into autonomous vehicle control with this free Applied Control Systems 2: Autonomous Cars (360 Tracking) course on Theetay. Taught by Mark, an Aerospace & Robotics Engineer, this course builds upon the concepts of “Applied Control Systems 1: Autonomous Cars: Math + PID + MPC” and dives deeper into the world of autonomous vehicle design and implementation. Learn how to design and implement control systems for autonomous vehicles using advanced techniques like Model Predictive Control (MPC) and Linear Parameter Varying (LPV) systems. This course will guide you through applying a linear MPC controller to a nonlinear system using the LPV form, enabling your autonomous vehicle to track a general 2D trajectory. You’ll also gain valuable knowledge in using quadratic solvers to apply MPC constraints and keep your system operating within realistic boundaries. Key topics covered include: Model Predictive Control (MPC), Linear Parameter Varying (LPV) systems, Quadratic solvers, and Autonomous vehicle control. This free course is available now on Theetay, offering access to top-rated courses from platforms like Udemy, Udacity, Coursera, MasterClass, NearPeer, and more.
Applied Control Systems 1: autonomous cars: Math + PID + MPC
Learn Autonomous Car Technology with this Free Applied Control Systems Course This free Applied Control Systems course on Udemy will equip you with the essential knowledge of controlling autonomous systems. Master the fundamentals of designing, applying, and understanding mathematical models, PID controllers, and Model Predictive Controllers (MPC) to build self-driving cars and other autonomous vehicles. Develop the coding, mathematical, and intuitive skills needed to excel in control systems engineering. You will learn: How to create mathematical models for state-space systems and equations of motion How to design a PID controller for a magnetic train that needs to catch objects falling from the sky How to use MPC to create an autonomous car that can change lanes on a straight road at a constant forward speed This course delves into topics like: Autonomous vehicles Control systems engineering PID controllers MPC State-space systems Equations of motion Mathematical modeling Coding Enroll today and begin your journey into the future of autonomous systems! This course is completely free and available on Theetay. We offer a wide range of courses from platforms like Udemy, Udacity, Coursera, MasterClass, NearPeer, and more.
INTUITION MATTERS! Applied Calculus in Engineering: Complete
Unlock the power of calculus and its real-world applications in engineering with this **free** course! Learn calculus fundamentals, from single variable functions to multivariable integrals and differential equations. This comprehensive course covers essential topics like: Single Variable Functions, Trigonometric Functions, Multidimensional Functions, Limits, Derivatives, Vectors, Transformations, Parametric Equations, Multivariable Calculus, Single Variable Integrals, Multivariable Integrals, Differential Equations & Waves, and Calculus in Control Engineering. This free course is offered on Theetay, a platform with free courses from Udemy, Udacity, Coursera, MasterClass, NearPeer, and other platforms. Enroll now and start your calculus journey!
Python engineering animations: Bring math & data to life
Learn how to create stunning Python engineering animations with this free Udemy course! Master the art of bringing math and data to life through captivating visualizations. This course teaches you the fundamentals of Python programming, specifically using the powerful Matplotlib library, to create eye-catching scientific animations. Explore key mathematical concepts, including functions, derivatives, vectors, physics of free falling objects, trigonometry, time delays, and circular motion in 2D and 3D. Gain insight into the fascinating world of Control Systems. Learn to animate airplanes, robots, water tanks, autonomous vehicles, trains, drones, and more. This comprehensive course will elevate your data visualization skills. Enroll today and unlock the power of Python animations for free. This course is completely free and is available on Theetay, your one-stop shop for free online courses from platforms like Udemy, Udacity, Coursera, MasterClass, NearPeer, and more.
