A fuzzy control theory and neural network based sensor network control system

Proceedings - 2014 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014

Volumn , Issue , 2014, Pages 831-834

  Wang, Anqi ^a   Liu, Jin ^a   Wang, Xiaofeng ^a   Wang, Jin ^b  

^a SHANGHAI MARITIME UNIVERSITY   (China)

^b NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

Author keywords

Fuzzy Control; Neural Network; Wireless Sensor Network

Indexed keywords

CONTROL THEORY; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; INTELLIGENT CONTROL; NEURAL NETWORKS; SIGNAL PROCESSING; WIRELESS SENSOR NETWORKS;

CONTROL DECISIONS; FUZZY CONTROL METHODS; NETWORK CONTROL SYSTEMS; SENSOR DATA; WORKING STATE;

FUZZY CONTROL;

EID: 84921672961     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IIH-MSP.2014.210     Document Type: Conference Paper

References (12)

1. Perrot N, Baudrit C, Caldwell D G. Intelligent quality control systems in food processing based on fuzzy logic[J]. Robotics and automation in the food industry: current and future technologies, 2013: 200-225.
2. Ceylan R, Ceylan M, Øzbay Y, et al. Fuzzy clustering complexvalued neural network to diagnose cirrhosis disease[J]. Expert Systems With Applications, 2011, 38 (8): 9744-9751.
3. Bisoi R, Dash P K. A hybrid evolutionary dynamic neural network for stock market trend analysis and prediction using unscented Kalman filter[J]. Applied Soft Computing, 2014, 19: 41-56.
4. Jutten C., Herault J. Independent component analysis versus PCA [J]. Proceeding of European Signal Processing conference, 1988, 287-314.
5. Wai R J, Yang Z W. Adaptive fuzzy-neural-network control of robot manipulator using TS Fuzzy model design[C]//Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on. IEEE, 2008: 90-97.
6. Wai R J, Yang Z W, Shih C Y. Direct adaptive fuzzy-neural-network control for robot manipulator by using only position measurements[C]//Industrial Electronics and Applications (ICIEA), 2010 the 5th IEEE Conference on. IEEE, 2010: 689-694.
7. Wai R J, Yang Z W. Adaptive fuzzy neural network control design via a T-S fuzzy model for a robot manipulator including actuator dynamics[J]. Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, 2008, 38 (5): 1326-1346.
8. Wai R J, Chang L J. Stabilizing and tracking control of nonlinear dual-axis inverted-pendulum system using fuzzy neural network[J]. Fuzzy Systems, IEEE Transactions on, 2006, 14 (1): 145-168.
9. Tong G, Fan C, Cui F, et al. Fuzzy Neural Network Model Applied in the Traffic Flow Prediction[C]//Information Acquisition, 2006 IEEE International Conference on. IEEE, 2006: 1229-1233.
10. Zhang Z, Gao G, Shi Y. Credit risk evaluation using multi-criteria optimization classifier with kernel, fuzzification and penalty factors[J]. European Journal of Operational Research, 2014, 237 (1): 335-348.
11. Lee H M, Lu B H. A fuzzy rule-based neural network model for revising approximate domain knowledge[C]//Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on. IEEE, 1994, 1: 634-639.
12. Zinonos Z, Chrysostomou C, Vassiliou V. Wireless sensor networks mobility management using fuzzy logic[J]. Ad Hoc Networks, 2014, 16: 70-87.