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How I Use Simulink

Track :

Technology

Lessons no : 17

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What will you learn in this course?
  • 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

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Lessons | 17


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Srikanth Sri7 

Srikanth.S
2023-09-12

Pavan Kumar H.M 

Gggg
2023-09-11

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Good experience and satisfied with teaching tq ️
2023-09-11

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2023-09-10

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2023-09-10

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2023-09-10

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Reinforcement Learning Control for Wheeled Self-balancing Systems ... This project shows an interesting approach to developing a controller to a nonlinear system.