Title : ( ACTIVE CONTROL $/*25,7+0%$6(\\\'21)8== )
Authors: Ghelichi Mostafa , A. M. Goltabar , H. R. Tavakoli , Abbas Karamodin ,
Full TextAbstract
Control algorithms can affect the performance and cost-effectiveness of a structure’s control system. This study presents an active neuro-fuzzy optimized control algorithm based on a new optimization method extracted from Tug of War competition, which is highly efficient for civil structures. The performance of the proposed control method has been evaluated on the finite element model of nonlinear highway benchmark bridge. It is consisted of nonlinear structural elements and isolation bearings equipped with the hydraulic actuators
Keywords
, Tug of war, Neural networks, Active control, Nonlinear base-isolated structures, Highway benchmark bridge
@inproceedings{paperid:1082908,
author = {مصطفی قلیچی and علیرضا گل تبار and حمید رضا توکلی and Karamodin, Abbas},
title = {ACTIVE CONTROL $/*25,7+0%$6(\\\'21)8==},
booktitle = {8th international conference on siesmology and earthquake engineering},
year = {2019},
location = {تهران, IRAN},
keywords = {Tug of war; Neural networks; Active control; Nonlinear base-isolated structures; Highway benchmark bridge},
}
%0 Conference Proceedings
%T ACTIVE CONTROL $/*25,7+0%$6(\\\'21)8==
%A مصطفی قلیچی
%A علیرضا گل تبار
%A حمید رضا توکلی
%A Karamodin, Abbas
%J 8th international conference on siesmology and earthquake engineering
%D 2019
