Learning Applied Control Systems 5 UAV Real-Time Control in Python

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Free Download Applied Control Systems 5 UAV Real-Time Control in Python
Published 11/2025
Created by Mark Misin Engineering Ltd
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Expert | Genre: eLearning | Language: English | Duration: 56 Lectures ( 9h 38m ) | Size: 4.52 GB

Learn Linux based real-time UAV control in Python using state feedback linearization and MPC with quaternions and Euler
What you'll learn
Build a Linux based server in Python for controlling systems in real-time
Manage and process incoming and outgoing data in Python in real-time
Apply real-time state feedback linearization to UAV position control
Apply Euler and Quaternion based real-time MPC attitude control to a UAV
Requirements
Applied Control Systems 1: autonomous cars: Math + PID + MPC
Applied Control Systems 2: autonomous cars (360 tracking)
Applied Control Systems 3: UAV drone (3D Dynamics & control)
Applied Control Systems 4: UAV: Quaternions + MPC + PID
Basic skills in Python programming
Description
This course, Applied Control Systems 5: UAV: Real-Time Control in Python, is designed to equip engineers, robotics enthusiasts, and control systems developers with practical skills in building and managing real-time UAV control systems using Python on a Linux-based server. Learn to efficiently process real-time data streams for UAV control, handling both incoming sensor data and outgoing control commands.Explore advanced control techniques such as state feedback linearization to achieve precise UAV position control in real time. Dive into the implementation of Model Predictive Control (MPC) for UAV attitude, comparing Euler angle and quaternion-based approaches to ensure robust and accurate performance under dynamic conditions.Throughout the course, you will develop expert-level Python programming skills tailored for real-time control applications, including asynchronous data processing, communication protocol management, and tight integration of control algorithms with simulation environments. Practical projects guide you step-by-step to create reliable and efficient UAV control servers.Key topics include:Building and deploying a Linux-based Python server for real-time UAV controlManaging and processing real-time sensor and control dataApplying state feedback linearization for UAV position regulationImplementing real-time MPC for attitude control using both Euler angles and quaternionsIntegrating advanced control algorithms in real UAV applicationsBy the end of this course, students will have the confidence and technical capability to design, program, and deploy real-time UAV control systems that harness modern nonlinear control strategies and real-time software engineering practices.This course is ideal for learners focused on UAV systems, real-time control engineering, and Python implementation.
Who this course is for
Control Systems engineers
Aerospace and Mechanical engineers
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