Fault tolerant control of nonlinear processes with adaptive diagonal recurrent neural network model

被引：0
|
作者：
Yu, DL [1 ]
Chang, TH [1 ]
Wang, J [1 ]
机构：
[1] Liverpool John Moores Univ, Control Syst Res Grp, Sch Engn, Liverpool L3 3AF, Merseyside, England
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 3, PROCEEDINGS | 2005年 / 3498卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Fault tolerant control (FTC) using an adaptive recurrent neural network model is developed in this paper. The model adaptation is achieved with the extended Kalman filter (EKF). A novel recursive algorithm is proposed to calculate the Jacobian matrix in the model adaptation so that the algorithm is simple and converges fast. A model inversion control with the developed adaptive model is applied to nonlinear processes and fault tolerant control is achieved. The developed control scheme is evaluated by a simulated continuous stirred tank reactor (CSTR) and effectiveness is demonstrated.
引用
收藏
页码：86 / 91
页数：6
相关论文
共 50 条
  • [31] Adaptive Neural Network Observer-Based Fault Tolerant Control for Partially Unknown Nonlinear Systems via Adaptive Dynamic Programming
    Zeng, Chujian
    Zhao, Bo
    Liu, Derong
    Proceedings of 13th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2023, 2023, : 212 - 216
  • [32] Neural network-based adaptive output feedback fault-tolerant control for nonlinear systems with prescribed performance
    Wang, Cai-Cheng
    Yang, Guang-Hong
    NEUROCOMPUTING, 2019, 329 : 457 - 467
  • [33] Nonlinear Model Predictive Control Using a Recurrent Neural Network
    Pan, Yunpeng
    Wang, Jun
    2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8, 2008, : 2296 - 2301
  • [34] Experimental study of direct adaptive SPSA control system with diagonal recurrent neural network controller
    Ji, XD
    Familoni, BO
    PROCEEDINGS OF THE IEEE SOUTHEASTCON '96: BRINGING TOGETHER EDUCATION, SCIENCE AND TECHNOLOGY, 1996, : 525 - 528
  • [35] A diagonal recurrent neural network-based hybrid direct adaptive SPSA control system
    Ji, XD
    Familoni, BO
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1999, 44 (07) : 1469 - 1473
  • [36] Adaptive neural network-based backstepping fault tolerant control for underwater vehicles with thruster fault
    Wang, Yujia
    Zhang, Mingjun'
    Wilson, Philip A.
    Liu, Xing
    OCEAN ENGINEERING, 2015, 110 : 15 - 24
  • [37] Fault-tolerant control based on adaptive neural network sliding mode observer
    Yang, Zheng-Yin
    Hu, Jian
    Yao, Jian-Yong
    Sha, Ying-Zhe
    Song, Qiu-Yu
    Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 2022, 56 (08): : 1656 - 1665
  • [38] Neural-network-based fault-tolerant control of unknown nonlinear systems
    Wang, H
    Wang, Y
    IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS, 1999, 146 (05): : 389 - 398
  • [39] Research of Adaptive Equalization Algorithm Based on Diagonal Recurrent Neural Network
    Han, Yingzheng
    Zhao, Jumin
    Li, DengAo
    ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 1, PROCEEDINGS, 2008, : 352 - 355
  • [40] The Control Simulation of BRHL Based on Diagonal Recurrent Neural Network
    Xie, Hua-Long
    Guo, Li-Xin
    Zhang, Ming
    2010 3RD INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS (BMEI 2010), VOLS 1-7, 2010, : 1844 - 1848
12345