Approximate linearization of nonlinear systems: A neural network approach

被引：0
|
作者：
Pei, HL [1 ]
Zhou, QJ [1 ]
Leung, TP [1 ]
机构：
[1] S CHINA UNIV TECHNOL,DEPT AUTOMAT,GUANGZHOU,PEOPLES R CHINA
来源：
PROCEEDINGS OF THE 1996 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL | 1996年
关键词：
neural networks; approximation; linearization;
D O I：
10.1109/ISIC.1996.556242
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
引用
收藏
页码：444 / 449
页数：6
相关论文
共 50 条
  • [31] Accelerated Gradient Approach For Neural Network Adaptive Control Of Nonlinear Systems
    Le, Duc M.
    Patil, Omkar Sudhir
    Nino, Cristian F.
    Dixon, Warren E.
    2022 IEEE 61ST CONFERENCE ON DECISION AND CONTROL (CDC), 2022, : 3475 - 3480
  • [32] A NEURAL-NETWORK APPROACH TO ONLINE IDENTIFICATION OF NONLINEAR-SYSTEMS
    MILLS, PM
    ZOMAYA, AY
    CYBERNETICS AND SYSTEMS, 1993, 24 (03) : 171 - 195
  • [33] Neural network based approximate output regulation in discrete-time uncertain nonlinear systems
    Lan, WY
    Huang, J
    PROCEEDINGS OF THE 41ST IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, 2002, : 1764 - 1769
  • [34] Neural-network-based approximate output regulation of discrete-time nonlinear systems
    Lan, Weiyao
    Huang, Jie
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2007, 18 (04): : 1196 - 1208
  • [35] Gain Scheduling Control of Nonlinear Systems based on Approximate Input-Output Linearization
    Kwon, Hae-Young
    Choi, Ho-Lim
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2014, 12 (05) : 1131 - 1137
  • [36] Reinforcement Learning based Approximate Optimal Control of Nonlinear Systems using Carleman Linearization
    Kar, Jishnudeep
    Bai, He
    Chakrabortty, Aranya
    2023 AMERICAN CONTROL CONFERENCE, ACC, 2023, : 3362 - 3367
  • [37] Gain scheduling control of nonlinear systems based on approximate input-output linearization
    Hae-Young Kwon
    Ho-Lim Choi
    International Journal of Control, Automation and Systems, 2014, 12 : 1131 - 1137
  • [38] The adaptive control for a class of nonlinear systems based on dynamic approximate non-linearization
    Hu Zhi-qiang
    2006 CHINESE CONTROL CONFERENCE, VOLS 1-5, 2006, : 1477 - 1481
  • [39] A new iterative linearization approach for solving nonlinear equations systems
    Temelcan, Gizem
    Sivri, Mustafa
    Albayrak, Inci
    INTERNATIONAL JOURNAL OF OPTIMIZATION AND CONTROL-THEORIES & APPLICATIONS-IJOCTA, 2020, 10 (01): : 47 - 54
  • [40] Model Reference Control of Nonlinear Systems by Dynamic Output Feedback Linearization of Neural Network based ANARX Models
    Petlenkov, Eduard
    2008 10TH INTERNATIONAL CONFERENCE ON CONTROL AUTOMATION ROBOTICS & VISION: ICARV 2008, VOLS 1-4, 2008, : 1119 - 1123
12345