DocumentCode
2206025
Title
Artificial neural networks inversion based dynamic compensator of sensors
Author
Dai, Xianzhong ; Yin, Ming ; Wang, Qin ; Wang, Wancheng
Author_Institution
Dept. of Autom. Control, Southeast Univ., Nanjing, China
fYear
2004
fDate
21-25 June 2004
Firstpage
258
Lastpage
261
Abstract
A novel dynamic compensator of sensors based on ANN (artificial neural networks) inversion is proposed according to the theory of inverse methods and excellent approach abilities of ANN. ANN inversion-based dynamic compensator of sensor is achieved through offline training the ANN inversion that combines the static ANN and dynamic factors. The dynamic performance of sensor is improved effectively by cascading ANN inversion with the original sensor. Simulation and experiment results indicate that the dynamic performance of sensor is remarkably improved and enhanced using the proposed compensator.
Keywords
computerised instrumentation; data acquisition; learning (artificial intelligence); neural nets; sensors; ANN; artificial neural networks; dynamic compensator; inverse method; inverse systems; sensors; Artificial neural networks; Deconvolution; Intelligent networks; Intelligent sensors; Interconnected systems; Inverse problems; Neural networks; Nonlinear dynamical systems; Sensor systems; Time domain analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Acquisition, 2004. Proceedings. International Conference on
Print_ISBN
0-7803-8629-9
Type
conf
DOI
10.1109/ICIA.2004.1373364
Filename
1373364
Link To Document