您当前的位置：
首页 >
文章列表页 >
Parameter identification for SCR systems based on improved chaos optimization algorithm
更新时间：2025-05-26

    • Parameter identification for SCR systems based on improved chaos optimization algorithm

    • “In the field of SCR system parameter identification, experts have proposed an online parameter identification method that combines accelerated chaos optimization and a single search algorithm. This method can identify system parameters in real time, improve identification accuracy by 5.44%, but increase time consumption by 2.9%.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 2, Pages: 550-557(2024)
    • 作者机构：

      1.吉林师范大学 计算机学院，吉林 四平 136002

      2.吉林大学 汽车仿真与控制国家重点实验室，长春 130022

      3.长春金融高等专科学校 信息技术学院，长春 130028

    • DOI：10.13229/j.cnki.jdxbgxb.20220409    

      CLC： TP273

    • Received：14 April 2022，

      Published：01 February 2024

    移动端阅览

  • ZHAO Jing-hua,DU Shi-hao,LIU Liang-wei,et al.Parameter identification for SCR systems based on improved chaos optimization algorithm[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(02):550-557. DOI： 10.13229/j.cnki.jdxbgxb.20220409.

  •  
  •  

0

Views

8

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Cathode intake system control method of proton exchange membrane fuel cells based on high-order fully actuated system
Digital twin driven longitudinal and lateral control of truck platoon
Intelligent vehicle trajectory tracking control based on curvature augmentation
Shared controller design for different driving behavior models
Optimal energy management on extended⁃range electric vehicle equipped with compressed natural gas engine

Related Author

LI Gan-xin
LIU Yan-ling
ZHANG Ya-hui
HU Yun-feng
YU Shu-you
XIE Hua-cheng
LI Wen-bo
LI Yong-fu

Related Institution

State Key Laboratory of Automotive Chassis Integration and Bionics， Jilin University
School of Mechanical Engineering， Yanshan University
College of Communication Engineering，Jilin University
Key Laboratory of Intelligent Air-Ground Cooperative Control， Chongqing University of Posts and Telecommunications
College of Electronics and Information Engineering， Tongji University
0