Active control of beam vibration using Neural Network with adaptively rearranging structure

2003 ◽  
Vol 2003.40 (0) ◽  
pp. 177-178
Author(s):  
Toshihiko KOMATSUZAKI ◽  
Hidenori SATO ◽  
Yoshio IWATA
Keyword(s):  
Neural Network ◽  
Active Control ◽  
Beam Vibration

Robust adaptive backstepping active control of compressor surge based on wavelet neural network

2020 ◽  
Vol 106 ◽  
pp. 106139
Author(s):  
Hanlin Sheng ◽  
Qian Chen ◽  
Jiacheng Li ◽  
Zefan Li ◽  
Zhe Wang ◽  
...  
Keyword(s):  
Neural Network ◽  
Active Control ◽  
Wavelet Neural Network ◽  
Adaptive Backstepping ◽  
Compressor Surge ◽  
Robust Adaptive

Application of Magnetorheological Damper Semi-Active Control Based on Artificial Neural Networks

2010 ◽  
Vol 171-172 ◽  
pp. 654-658
Author(s):  
De Kun Yue ◽  
Qi Wang
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
System Identification ◽  
Active Control ◽  
Bp Neural Network ◽  
Structural Response ◽  
Magnetorheological Damper ◽  
Building Structure ◽  
Artificial Neural

Uncertainty for the building structure and nonlinear, this simulation of a multi-storey structure under earthquake is presented based on the BP neural network and system identification, controller will be built to effectively reduce the structural response, and to strengthen the unique damper performance.

120 Active Control of Noise Transmission using Neural Network

2000 ◽  
Vol 2000.37 (0) ◽  
pp. 37-38
Author(s):  
Toshihiko KOMATSUZAKI ◽  
Hidenori SATO ◽  
Yoshio IWATA ◽  
Shin MORISHITA
Keyword(s):  
Neural Network ◽  
Active Control ◽  
Noise Transmission

Neural network compensation of semi-active control for magneto-rheological suspension with time delay uncertainty

2008 ◽  
Vol 18 (1) ◽  
pp. 015014 ◽  
Author(s):  
XiaoMin Dong ◽  
Miao Yu ◽  
Zushu Li ◽  
Changrong Liao ◽  
Weimin Chen
Keyword(s):  
Neural Network ◽  
Time Delay ◽  
Active Control ◽  
Magneto Rheological
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