A Fuzzy Control Theory and Neural Network Based Sensor Network Control System

被引：2
作者：
Wang, Anqi [1 ]
Liu, Jin [1 ]
Wang, Xiaofeng [1 ]
Wang, Jin [2 ]
机构：
[1] Shanghai Maritime Univ, Coll Informat Engn, Shanghai, Peoples R China
[2] Nanjing Univ Info Sci & Tech, Jiangsu Engn Ctr Network Monitoring, Nanjing, Jiangsu, Peoples R China
来源：
2014 TENTH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING (IIH-MSP 2014) | 2014年
关键词：
Wireless Sensor Network; Neural Network; Fuzzy Control;
D O I：
10.1109/IIH-MSP.2014.210
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents the background and related researches of the intelligent control theory, introduces the related research about fuzzy control theory and neural network. By exploiting the characteristics fuzzy control and neural network, and combining them to make the control decision, we proposed a novel intelligent control system for a sensor network. The system can predict the sensors' states at a certain time in future by learning from the historical sensor data and adjust the working state of certain sensors or controllers by using fuzzy control methods.
引用
收藏
页码：831 / 834
页数：4
相关论文
共 12 条
  • [1] [Anonymous], P EUR SIGN PROC C
  • [2] A hybrid evolutionary dynamic neural network for stock market trend analysis and prediction using unscented Kalman filter
    Bisoi, Ranjeeta
    Dash, P. K.
    [J]. APPLIED SOFT COMPUTING, 2014, 19 : 41 - 56
  • [3] Fuzzy clustering complex-valued neural network to diagnose cirrhosis disease
    Ceylan, Rahime
    Ceylan, Murat
    Ozbay, Yuksel
    Kara, Sadik
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (08) : 9744 - 9751
  • [4] LEE HM, 1994, 1994 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS - HUMANS, INFORMATION AND TECHNOLOGY, VOLS 1-3, P634, DOI 10.1109/ICSMC.1994.399911
  • [5] Perrot N, 2013, WOODHEAD PUBL FOOD S, P200, DOI 10.1533/9780857095763.1.200
  • [6] Rong-Jong Wai, 2010, 2010 5th IEEE Conference on Industrial Electronics and Applications (ICIEA 2010), P689, DOI 10.1109/ICIEA.2010.5516980
  • [7] Fuzzy neural network model applied in the traffic flow prediction
    Tong, Gang
    Fan, Chunling
    Cui, Fengying
    Meng, Xiangzhong
    [J]. 2006 IEEE INTERNATIONAL CONFERENCE ON INFORMATION ACQUISITION, VOLS 1 AND 2, CONFERENCE PROCEEDINGS, 2006, : 1229 - 1233
  • [8] Stabilizing and tracking control of nonlinear dual-axis inverted-pendulum system using fuzzy neural network
    Wai, RJ
    Chang, LJ
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2006, 14 (01) : 145 - 168
  • [9] Adaptive fuzzy neural network control design via a T-S fuzzy model for a robot manipulator including actuator dynamics
    Wai, Rong-Jong
    Yang, Zhi-Wei
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2008, 38 (05): : 1326 - 1346
  • [10] Adaptive Fuzzy-Neural-Network Control of Robot Manipulator Using T-S Fuzzy Model Design
    Wai, Rong-Jong
    Yang, Zhi-Wei
    [J]. 2008 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5, 2008, : 90 - +
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