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Faravelli, L., & Rossi, R. (2002). Adaptive fuzzy
control: Theory versus implementation.
Journal
of Structural Control
,
9
, 59-73. doi:10.1002/stc.5
Johansen, T. A. (1994). Fuzzy model based con-
trol: Stability, robustness, and performance issues.
IEEE Transactions on Fuzzy Systems
,
2
, 221-234.
doi:10.1109/91.298450
Filev, D. P. (1991). Fuzzy modeling of complex
systems.
International Journal of Approximate
Reasoning
,
5
, 281-290. doi:10.1016/0888-
613X(91)90013-C
Johansen, T. A., & Babuška, R. (2003). Multi-
objective identification of Takagi-Sugeno fuzzy
models.
IEEE Transactions on Fuzzy Systems
,
11
, 847-860. doi:10.1109/TFUZZ.2003.819824
Gauss, K. F. (1963).
Theory of the motion of the
heavenly bodies moving about the sun in conic
sections: A Translation of Theoria Motus
. New
York, NY: Dover Publications.
Kerber, F., Hurlebaus, S., Beadle, B. M., &
Stöbener, U. (2007). Control concepts for an
active vibration isolation system.
Mechanical
Systems and Signal Processing
,
21
, 3042-3059.
doi:10.1016/j.ymssp.2007.04.003
Gu, Z. Q., & Oyadiji, O. (2008). Application of
MR damper in structural control using ANFIS
method.
Computers & Structures
,
86
, 427-436.
doi:10.1016/j.compstruc.2007.02.024
Kim, H. S., & Roschke, P. N. (2006). Design of
fuzzy logic controller for smart base isolation
system using genetic algorithm.
Engineer-
ing Structures
,
28
, 84-96. doi:10.1016/j.eng-
struct.2005.07.006
Hung, S. L., Huang, C. S., Wen, C. M., & Hsu,
Y. C. (2003). Nonparametric identification of a
building structure from experimental data using
wavelet neural network.
Computer-Aided Civil
and Infrastructure Engineering
,
18
, 356-368.
doi:10.1111/1467-8667.t01-1-00313
Kim, S. B., Yun, C. B., & Spencer, B. F. Jr. (2004).
Vibration control of wind-excited tall buildings
using sliding mode fuzzy control.
Journal of En-
gineering Mechanics
,
130
, 505-510. doi:10.1061/
(ASCE)0733-9399(2004)130:4(505)
Hurlebaus, S., & Gaul, L. (2006). Smart struc-
ture dynamics.
Mechanical Systems and Sig-
nal Processing
,
20
, 255-281. doi:10.1016/j.
ymssp.2005.08.025
Kim, Y., Hurlebaus, S., & Langari, R. (2010). Con-
trol of a seismically excited benchmark building
using linear matrix inequality-based semiactive
nonlinear fuzzy control.
Journal of Structural En-
gineering
,
136
, 1023-1026. doi:10.1061/(ASCE)
ST.1943-541X.0000192
Jang, J. S. R., Sun, C. T., & Mizutani, E. (1997).
Neuro-fuzzy and soft computing: A computational
approach to learning and machine intelligence
.
Upper Saddle River, NJ: Prentice Hall.
Kim, Y., Langari, R., & Hurlebaus, S. (2009).
Semiactive nonlinear control of a building using
a magnetorheological damper system.
Mechani-
cal Systems and Signal Processing
,
23
, 300-315.
doi:10.1016/j.ymssp.2008.06.006
Jang, J. S. R., Sun, C. T., & Mizutani, E. (1997).
Neuro-fuzzy and soft computing
. Upper Saddle
River, NJ: Prentice Hall.
Jiang, X., & Adeli, H. (2005). Dynamic wave-
let neural network for nonlinear identification
of highrise buildings.
Computer-Aided Civil
and Infrastructure Engineering
,
20
, 316-330.
doi:10.1111/j.1467-8667.2005.00399.x
Kim, Y., Langari, R., & Hurlebaus, S. (2010). Mod-
el-based multi-input, multi-output supervisory
semiactive nonlinear fuzzy controller.
Computer-
Aided Civil and Infrastructure Engineering
,
25
,
387-393. doi:10.1111/j.1467-8667.2009.00649.x
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