Course / Course Details

How I Use Simulink Course

  • Sabitha image

    By - Sabitha

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Course Description

Reinforcement Learning Control for Wheeled Self-balancing Systems ... This project shows an interesting approach to

developing a controller to a nonlinear system.

Course Outcomes

  • Design and implement reinforcement learning algorithms for nonlinear wheeled self-balancing systems using Simulink
  • Model and  simulate nonlinear control systems with Simulink for real-world robotics applications
  • Apply Simulink to develop and test reinforcement learning-based controllers for self-balancing robots
  • Analyze system stability and performance of reinforcement learning controllers in Simulink environments
  • Optimize control parameters for wheeled self-balancing systems using Simulink  simulation tools
  • Troubleshoot and refine nonlinear control models to improve balance and responsiveness in Simulink
  • Integrate reinforcement learning techniques into Simulink models for autonomous control systems
  • Evaluate the effectiveness of reinforcement learning controllers through simulation metrics and real-world scenarios

Course Curriculum

  • 1 chapters
  • 15 lectures
  • 0 quizzes
  • N/A total length
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1 Wireless networking with ECRobot toolbox WINNER of simulink2012
4.54 Min


2 Simulink2012 Student Challenge Modelling control and 3d animation of a quadcopter
6.01 Min


3 How I Use Simulink
4 Min


4 project
6.19 Min


5 M Engr Seminar Presentation by Akuru Udochukwu Bola
4.19 Min


6 TFRS using Simulink
5.58 Min


7 Dynamic Water Treatment Works Model
3.3 Min


8 Optimization of the Forward Voltage Drop of Power Diode Using Similink
13.42 Min


9 UWB 802 15 4A
4.38 Min


10 Orbital Resonance The project
14.57 Min


11 Visually Autonomous Landing of Helicopters on Ships
4.27 Min


12 Simulink2012 Taylor Spatial Frame Simulation
7.15 Min


13 Simulink 3d animation of a wind turbine
3.02 Min


14 PhotoVoltaic System Simulation Simulink2012
3.35 Min


15 MLE Simulink Interface
9.1 Min


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