LQR and genetic algorithms: an effective duo for assessing control expenditure and performance in dynamic systems
In this work, a novel methodology is introduced that employs genetic algorithms to determine the optimal weighting matrices for a linear quadratic regulator controller. A method is presented to construct a multi-objective fitness function that allows one to give prioritisation to energy consumption...
Main Authors: | , , , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
IEEE
2024
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Subjects: | |
Online Access: | https://repository.londonmet.ac.uk/9511/1/SLBSN24.pdf |