An adaptive PID neural network for complex nonlinear system control

被引：0
|
作者：
Kang, Jun [1 ,2 ]
Meng, Wenjun [1 ]
Abraham, Ajith [3 ,4 ,5 ]
Liu, Hongbo [3 ,5 ]
机构：
[1] School of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China
[2] Software School, North University of China, Taiyuan 030051, China
[3] Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, Auburn 98071, WA, United States
[4] IT4Innovations - Center of excellence, VSB - Technical University of Ostrava, Ostrava 70833, Czech Republic
[5] School of Information Science and Technology, Dalian Maritime University, Dalian 116026, China
来源：
Neurocomputing | 2014年 / 135卷
基金：
中国国家自然科学基金; 上海市自然科学基金;
关键词：
Lyapunov methods - Nonlinear systems - Adaptive control systems - Complex networks - Uncertainty analysis - Particle swarm optimization (PSO);
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：79 / 85
相关论文
共 50 条
  • [31] PID Adaptive Feedback Motor System Based on Neural Network
    Lu, Yufang
    Huang, Jiehui
    Jiang, Zhijun
    Tang, Tao
    Tang, Haihua
    Shi, Lei
    IEEE ACCESS, 2024, 12 : 60149 - 60154
  • [32] Adaptive sliding mode control using RBF Neural Network for nonlinear system
    Zhang, Ming-Guang
    Chen, Yu-Wu
    Wang, Peng
    Wang, Zhao-Gang
    PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2008, : 1860 - 1865
  • [33] Comparison of artificial neural network adaptive control techniques for a nonlinear system with delay
    Gus, Bartlomiej
    Mozaryn, Jakub
    2023 27TH INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN AUTOMATION AND ROBOTICS, MMAR, 2023, : 111 - 116
  • [34] Model predictive control of nonlinear system based on adaptive fuzzy neural network
    Zhou H.
    Zhang Y.
    Bai X.
    Liu B.
    Zhao H.
    Huagong Xuebao/CIESC Journal, 2020, 71 (07): : 3201 - 3212
  • [35] Adaptive robust control for a class of nonlinear uncertain system based on neural network
    Wang Wen-qing
    Han Chong-zhao
    Proceedings of 2005 Chinese Control and Decision Conference, Vols 1 and 2, 2005, : 385 - 388
  • [36] Neural network PID control for a water level system
    Li, Xiaoli
    Shi, Longhui
    Li, Ji
    INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL, 2010, 11 (1-2) : 124 - 129
  • [37] Application of PID Neural Network in the pneumatic control system
    Pan Yu Xuan
    Dong Quan Lin
    PROCEEDINGS OF THE 2017 7TH INTERNATIONAL CONFERENCE ON MANUFACTURING SCIENCE AND ENGINEERING (ICMSE 2017), 2017, 128 : 60 - 66
  • [38] PID Adaptive Control in the Application of the Induction Motor System Based on the RBF Neural Network Inverse
    Li, Zhang
    Bo, Yu
    MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY, 2014, 556-562 : 2393 - 2396
  • [39] Adaptive Control of Wind Turbine Generator System Based on RBF-PID Neural Network
    Wang, Zhanshan
    Shen, Zhengwei
    Cai, Chao
    Jia, Kaili
    PROCEEDINGS OF THE 2014 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2014, : 538 - 543
  • [40] Nonlinear control system of PID neural network based on cooperated particle swarm optimization(PSO)
    Department of Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240, China
    Kong Zhi Li Lun Yu Ying Yong, 2009, 12 (1317-1324):
12345