2007 European Control Conference (ECC) 2007
DOI: 10.23919/ecc.2007.7068598
|View full text |Cite
|
Sign up to set email alerts
|

Backstepping control of nonlinear building structures with hysteretic and frictional dynamics

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
9
0

Year Published

2008
2008
2010
2010

Publication Types

Select...
5
1

Relationship

4
2

Authors

Journals

citations
Cited by 7 publications
(9 citation statements)
references
References 8 publications
0
9
0
Order By: Relevance
“…Some of them are the clipped optimal control (Dyke et al 3 ), control based on Lyapunov's stability theory (Luo et al 4 ), neural network and fuzzy logic control (Kim and Roschke, 5 Schurter and Roschke 6 ). In this paper, a neural adaptive backstepping control is presented as an extension to the works by Villamizar and Luo 7 and Luo et al 8 An adaptive backstepping controller is designed to reduce a 10-story building vibrations caused by an earthquake. Additionally, a neural network is implemented in order to estimate an unmeasurable and to relief the numerical complexity that supposes the Bouc-Wen model.…”
Section: Introductionmentioning
confidence: 98%
“…Some of them are the clipped optimal control (Dyke et al 3 ), control based on Lyapunov's stability theory (Luo et al 4 ), neural network and fuzzy logic control (Kim and Roschke, 5 Schurter and Roschke 6 ). In this paper, a neural adaptive backstepping control is presented as an extension to the works by Villamizar and Luo 7 and Luo et al 8 An adaptive backstepping controller is designed to reduce a 10-story building vibrations caused by an earthquake. Additionally, a neural network is implemented in order to estimate an unmeasurable and to relief the numerical complexity that supposes the Bouc-Wen model.…”
Section: Introductionmentioning
confidence: 98%
“…Other control theories have also been applied to mitigate vibrations in structures equipped with MR dampers. Some of them include bang-bang control (Nagarajaiah, Narasimhan, Agrawal, and Tang 2006), sliding mode control (Moon, Bergman, and Voulgaris 2003), backstepping control (Luo, Villamizar, and Vehi 2007), intelligent control such as fuzzy logic control (Kim and Roschke 2006) and neuro fuzzy control (Schurter and Roschke 2001). Recently, in Zapateiro et al (2009), a neural network-backstepping controller for a class of semi-active vehicle suspension systems equipped with MR dampers was presented.…”
Section: Introductionmentioning
confidence: 99%
“…Backstepping control in systems with MR dampers was first proposed by Villamizar et al [18] and Luo et al [19]. Backstepping control design consists of selecting appropriate functions of state variables as pseudocontrol inputs for lower-dimension subsystems of the overall system.…”
Section: Introductionmentioning
confidence: 99%