Title : ( ACTIVE CONTROL $/*25,7+0%$6(\\\'21)8== )
Authors: ghelichi , goltabar , 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 actuator
Keywords
, Tug of war, Neural networks, Active control, Nonlinear base-isolated structures, Highway benchmark bridge
@inproceedings{paperid:1086001,
author = {قلیچی and گل تبار and توکلی and Karamodin, Abbas},
title = {ACTIVE CONTROL $/*25,7+0%$6(\\\'21)8==},
booktitle = {هشتمین کنفرانس بین المللی زلزله شناسی و مهندسی زلزله},
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 قلیچی
%A گل تبار
%A توکلی
%A Karamodin, Abbas
%J هشتمین کنفرانس بین المللی زلزله شناسی و مهندسی زلزله
%D 2019
