Name
Title | ||
|---|---|---|
Nonlinear Identification and Control of a Building Structure with a Magnetorheological Damper |
Abstract | ||
|---|---|---|
This paper proposes an approach to identification of a nonlinear model of a building equipped with a magnetorheological (MR) damper. The nonlinear model is identified via a multiple model approach based on an autoregressive exogenous (ARX) modeling framework. The so called Takagi-Sugeno (TS) fuzzy model is used to accomplish this process. Furthermore, a control strategy is developed to compensate for the nonlinearity in the structure/damper system so as to enhance the response of the system to earthquake type inputs. In particular it is shown that the proposed control strategy offers a reasonably effective approach to semi-active control of structures. The research team intends to verify these results in comparative studies using benchmark building structures in near future. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ACC.2007.4282906 | New York, NY |
Keywords | DocType | ISSN |
autoregressive processes,fuzzy control,magnetorheology,nonlinear control systems,structural engineering,vibration control,takagi-sugeno fuzzy model,autoregressive exogenous modeling framework,building structure,magnetorheological damper,nonlinear control,nonlinear identification,semiactive control,comparative study,fuzzy logic,damping,fuzzy systems,control systems,shock absorbers | Conference | 0743-1619 E-ISBN : 1-4244-0989-6 |
ISBN | Citations | PageRank |
1-4244-0989-6 | 2 | 0.41 |
References | Authors | |
6 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yeesock Kim | 1 | 2 | 0.41 |
| Langari, R. | 2 | 6 | 1.54 |