Optimizing LQR controllers: A comparative study

Optimizing LQR controllers: A comparative study

Linear Quadratic Regulator is one of the most common ways to control a linear system. Despite Linear Quadratic Regulator’s (LQR) strong performance and solid resilience, developing these controllers have been challenging, largely because there is no reliable way to choose the Q and R weighing matric...

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Bibliographic Details
Main Authors: Sanjay Joseph Chacko, Neeraj P.C., Rajesh Joseph Abraham
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Results in Control and Optimization
Subjects:
Artificial Bee Colony
Artificial Neural Network
Inverted pendulum
Newton–Raphson method
Optimal control
Optimisation
Online Access:http://www.sciencedirect.com/science/article/pii/S2666720724000171

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http://www.sciencedirect.com/science/article/pii/S2666720724000171

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