@article{(Open Science Index):https://publications.waset.org/pdf/10009845,
	  title     = {Active Control Improvement of Smart Cantilever Beam by Piezoelectric Materials and On-Line Differential Artificial Neural Networks},
	  author    = {P. Karimi and  A. H. Khedmati Bazkiaei},
	  country	= {},
	  institution	= {},
	  abstract     = {The main goal of this study is to test differential
neural network as a controller of smart structure and is to enumerate
its advantages and disadvantages in comparison with other
controllers. In this study, the smart structure has been considered as a
Euler Bernoulli cantilever beam and it has been tried that it be under
control with the use of vibration neural network resulting from
movement. Also, a linear observer has been considered as a reference
controller and has been compared its results. The considered
vibration charts and the controlled state have been recounted in the
final part of this text. The obtained result show that neural observer
has better performance in comparison to the implemented linear
	    journal   = {International Journal of Aerospace and Mechanical Engineering},
	  volume    = {12},
	  number    = {12},
	  year      = {2018},
	  pages     = {1066 - 1072},
	  ee        = {https://publications.waset.org/pdf/10009845},
	  url   	= {https://publications.waset.org/vol/144},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 144, 2018},