Multi-Mode Active Suspension Control Based on a Genetic K-Means Clustering Linear Quadratic Algorithm

Multi-Mode Active Suspension Control Based on a Genetic K-Means Clustering Linear Quadratic Algorithm

The traditional Linear quadratic regulator (LQR) control algorithm depends too much on expert experience during the selection of weighting coefficients. To solve this problem, we proposed a Genetic K-means clustering Linear quadratic (GKL) algorithm. Firstly, a 2-DOF 1/4 vehicle model and road input...

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Bibliographic Details
Main Authors: Kun Wu, Jiang Liu, Min Li, Jianze Liu, Yushun Wang
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Applied Sciences
Subjects:
active suspension
machine learning
LQR control
K-means clustering
genetic algorithm
Online Access:https://www.mdpi.com/2076-3417/11/21/10493

Internet

https://www.mdpi.com/2076-3417/11/21/10493

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