Add to ORKGAn investigation into the use of neural networks for the semi-active control of a magnetorheologicall
This paper presents a design method of neural controllers for semi-active suspensions with nonlinear...
Because of their intrinsically nonlinear characteristics, development of control strategies that are...
Most neural network models can work accurately on their trained samples, but when encountering noise...
The magnetorheological (MR) damper is a newly developed semi-active control device that possesses un...
Abstract: A semi-active controller-based neural network for nonlinear benchmark structure equipped w...
The dynamic behavior of a magnetorheological (MR) damper is well portrayed using a Bouc-Wen hysteres...
This paper adopts an intelligent controller based on supervised neural network control for a magneto...
The magnetorheological (MR) fluid damper is a relatively new type of device that shows future promis...
This study addresses the possibility of adopting semi-active magnetorheological elastomers?based iso...
Due to their intrinsically nonlinear characteristics, development of control strategies that are imp...
This paper presents a numerical assessment on the performance of two structural control strategies b...
The present paper implements a novelty semi-active structural control design on a two-story building...
Smart Structures and Materials 2001 : Smart Systems for Bridges, Structures, and Highways, Californi...
This paper proposes an adaptive neural network composed of Gaussian radial functions for mapping the...
Magneto-rheological damper is a nonlinear system. In this case study, system has been identified usi...
This paper presents a design method of neural controllers for semi-active suspensions with nonlinear...
Because of their intrinsically nonlinear characteristics, development of control strategies that are...
Most neural network models can work accurately on their trained samples, but when encountering noise...
The magnetorheological (MR) damper is a newly developed semi-active control device that possesses un...
Abstract: A semi-active controller-based neural network for nonlinear benchmark structure equipped w...
The dynamic behavior of a magnetorheological (MR) damper is well portrayed using a Bouc-Wen hysteres...
This paper adopts an intelligent controller based on supervised neural network control for a magneto...
The magnetorheological (MR) fluid damper is a relatively new type of device that shows future promis...
This study addresses the possibility of adopting semi-active magnetorheological elastomers?based iso...
Due to their intrinsically nonlinear characteristics, development of control strategies that are imp...
This paper presents a numerical assessment on the performance of two structural control strategies b...
The present paper implements a novelty semi-active structural control design on a two-story building...
Smart Structures and Materials 2001 : Smart Systems for Bridges, Structures, and Highways, Californi...
This paper proposes an adaptive neural network composed of Gaussian radial functions for mapping the...
Magneto-rheological damper is a nonlinear system. In this case study, system has been identified usi...
This paper presents a design method of neural controllers for semi-active suspensions with nonlinear...
Because of their intrinsically nonlinear characteristics, development of control strategies that are...
Most neural network models can work accurately on their trained samples, but when encountering noise...