@article{(Open Science Index):https://publications.waset.org/pdf/10001781,
	  title     = {Neural Network Motion Control of VTAV by NARMA-L2 Controller for Enhanced Situational Awareness},
	  author    = {Igor Astrov and  Natalya Berezovski},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper focuses on a critical component of the
situational awareness (SA), the control of autonomous vertical flight
for vectored thrust aerial vehicle (VTAV). With the SA strategy, we
proposed a neural network motion control procedure to address the
dynamics variation and performance requirement difference of flight
trajectory for a VTAV. This control strategy with using of NARMAL2
neurocontroller for chosen model of VTAV has been verified by
simulation of take-off and forward maneuvers using software
package Simulink and demonstrated good performance for fast
stabilization of motors, consequently, fast SA with economy in
energy can be asserted during search-and-rescue operations.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {9},
	  number    = {8},
	  year      = {2015},
	  pages     = {1839 - 1843},
	  ee        = {https://publications.waset.org/pdf/10001781},
	  url   	= {https://publications.waset.org/vol/104},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 104, 2015},