Vibration state estimation of nonlinear suspension system based on feedback linearization

被引：0
|
作者：
Chen, Si-Zhong [1 ]
Lu, Fan [1 ]
Wu, Zhi-Cheng [1 ]
Yang, Lin [1 ]
Zhao, Yu-Zhuang [1 ]
机构：
[1] School of Mechanical Engineering, Beijing Institute of Technology, Beijing,100081, China
来源：
Zhendong yu Chongji/Journal of Vibration and Shock | 2015年 / 34卷 / 20期
关键词：
Compendex;
D O I：
10.13465/j.cnki.jvs.2015.20.003
中图分类号：
学科分类号：
摘要：
State estimation
引用
收藏
页码：10 / 15
相关论文
共 50 条
  • [1] APPROXIMATE LINEARIZATION BY STATE FEEDBACK AND COORDINATE CHANGE.
    Krener, Arthur J.
    Systems and Control Letters, 1984, 5 (03): : 181 - 185
  • [2] Coordinate and Input Transformation for Feedback Linearization for a Class of Nonlinear Systems
    Zhan, Wei
    IAENG International Journal of Applied Mathematics, 2024, 54 (03) : 373 - 379
  • [3] A New Power System State Estimation Based on Synchronous Generator Dynamic State Estimation
    Zhang, Jing
    Bi, Tianshu
    Liu, Hao
    Dianwang Jishu/Power System Technology, 2024, 48 (10): : 4231 - 4241
  • [4] Power system harmonic state estimation based on generalized ridge estimation
    Niu, Shengsuo
    Liang, Zhirui
    Zhang, Jianhua
    Su, Haifeng
    Lü, Yunqing
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2012, 32 (07): : 94 - 98
  • [5] STEADY-STATE ANALYSIS OF NONLINEAR DYNAMIC SYSTEMS WITH PERIODIC EXCITATION BASED ON LINEARIZATION IN HARMONIC SPACE.
    Semlyen, A.
    Canadian electrical engineering journal, 1986, 11 (03): : 114 - 117
  • [6] Application of partitioned-based moving horizon estimation in power system state estimation
    School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore
    不详
    637459, Singapore
    Asia-Pacific Pow. Energy Eng. Conf., APPEEC,
  • [7] The application of simulink for vibration simulation of suspension dual-mass system
    Fei, Gao
    Fei, Qu Xiao
    Pei, Zheng
    Sensors and Transducers, 2014, 175 (07): : 6 - 10
  • [8] Estimation of the State of Weakly Nonlinear Stochastic Systems.
    Mogilevkin, V.A.
    Trudy LPI, 1982, (388): : 54 - 58
  • [9] Neural network-based state estimation of nonlinear systems: Application to fault detection and isolation
    Talebi H.A.
    Abdollahi F.
    Patel R.V.
    Khorasani K.
    Lecture Notes in Control and Information Sciences, 2010, 395 : 1 - 173
  • [10] Dynamic state estimation for power system based on an adaptive unscented Kalman filter
    Zhao, H. (zhaohshcn@126.com), 1600, Power System Technology Press (38):
12345