Lane Keeping Controller based on LQR Optimized by Genetic Algorithm-Reference-Cited by-同舟云学术

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Lane Keeping Controller based on LQR Optimized by Genetic Algorithm

Published:2022-10-28 Issue: Volume: Page:
ISSN:
Container-title:2022 6th CAA International Conference on Vehicular Control and Intelligence (CVCI)
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Author:

Guo Lie¹,Wei Liren²,Ge Pingshu³,Qin Zengke²

Affiliation:

1. School of Automotive Engineering, Dalian University of Technology and Ningbo Institute of Dalian University of Technology,Dalian,China

2. School of Automotive Engineering, Dalian University of Technology,Dalian,China

3. College of Mechanical & Electronic Engineering, Dalian Minzu University,Dalian,China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Liaoning Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9964479/9964492/09965080.pdf?arnumber=9965080

Reference20 articles.

1. Takagi–Sugeno Fuzzy-Based Robust H∞ Integrated Lane-Keeping and Direct Yaw Moment Controller of Unmanned Electric Vehicles

2. An optimal integrated longitudinal and lateral dynamic controller development for vehicle path tracking

3. LQR Control of an All-Wheel Drive Vehicle Considering Variable Input Constraint

4. Design and Vehicle Implementation of Autonomous Lane Change Algorithm based on Probabilistic Prediction

5. Variable feedback gain control design based on particle swarm optimizer for automatic fighter tracking problems

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. LQR and Genetic Algorithms: An Effective Duo for Assessing Control Expenditure and Performance in Dynamic Systems;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

2. Distributed Intelligent Vehicle Path Tracking and Stability Cooperative Control;World Electric Vehicle Journal;2024-02-28

3. A Comprehensive Analysis of Model Predictive Control for Lane Keeping Assist System;IEEE Access;2023

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