Tuning LQR Parameters using Neuro Evolution of Augmenting Topologies (NEAT) on a Double Pendulum Cart

Tuning LQR Parameters using Neuro Evolution of Augmenting Topologies (NEAT) on a Double Pendulum Cart

The double pendulum cart is an example of an unstable and nonlinear system. The modeling of this system can be done using the Euler-Lagrange method with linearization using Taylor Series expansion. Linear Quadratic Regulator (LQR) is one of the optimal control techniques applied to this problem. How...

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Bibliographic Details
Main Authors: Fahmizal, Fahmizal, Nugroho, Hanung Adi, Cahyadi, Adha Imam, Ardiyanto, Igi
Format: Conference or Workshop Item
Language:English
Published: 2022
Subjects:
Electrical and Electronic Engineering not elsewhere classified
Online Access:https://repository.ugm.ac.id/282197/1/Fahmizal%20et%20al%20-%202022%20-Tuning_LQR_Parameters_using_Neuro_Evolution_of_Augmenting_Topologies_NEAT_on_a_Double_Pendulum_Cart.pdf

Internet

https://repository.ugm.ac.id/282197/1/Fahmizal%20et%20al%20-%202022%20-Tuning_LQR_Parameters_using_Neuro_Evolution_of_Augmenting_Topologies_NEAT_on_a_Double_Pendulum_Cart.pdf

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