Information Technology Reference
In-Depth Information
Jansen, L. M., & Dyke, S. J. (2000). Semi-active control strategies for MR dampers: A comparative
study.
Journal of Engineering Mechanics ASCE
,
126
, 795-803.
Kamath, G. M., Wereley, N. M. & Jolly, M. R. (1998). Characterization of semiactive magneto-
rheological helicopter lag mode dampers. In M. E. Regelbrugge (Ed.),
5th Annual International
Symposium on Smart Structures and Materials (International Society for Optics and Photon-
ics)
(pp. 356-377). doi:
10.1117/12.316906
,
http://proceedings.spiedigitallibrary.org/proceeding.
Kasemi, B., Muthalif, A. G., Rashid, M. M. & Fathima, S. (2012). Fuzzy-PID Controller for semi-
active vibration control using magnetorheological fluid damper.
Procedia Engineering
,
41
, 1221-
Kothera, C. S., Ngatu, G. T., & Wereley, N. M. (2011). Control evaluations of semiactive fluid
elastomeric.
Journal of Guidance Control and Dynamics
,
34
(4), 1143-1156. doi
:
10.2514/1.51434
Marichal, G., Acosta, L.,Moreno, L.,Méndez, J., Rodrigo, J. &Sigut,M. (2001). Obstacle avoidance
for a mobile robot: A neuro-fuzzy approach.
Fuzzy Sets and Systems
,
124
(2), 171-179. doi:
10.
Marichal, G., Artés,M., García Prada, J. &Casanova, O. (2011). Extraction of rules for faulty bearing
classification by a neuro-fuzzy approach.
Mechanical Systems and Signal Processing
,
25
(6),
Marichal, G. N., Hernández, A., Acosta, L., & González, E. J. (2009). A neuro-fuzzy system
for extracting environment features based on ultrasonic sensors.
Sensors
,
12
(9), 10023-10043.
doi:
10.3390/s91210023
Marichal, G. N., Hernández, A., Olivares-Méndez, M., Acosta, L. & Campoy, P. (2010). An intel-
ligent control strategy based on ANFIS techniques in order to improve the performance of a
low-cost unmanned aerial vehicle vision system. In
2010 IEEE/ASME International Conference
on Mechatronic an Embedded Systems and Applications
, 978-1-4244-7102-7.
Mitra, S. & Hayashi, Y. (2000). Neuro-fuzzy rule generation: survey in soft computing framework.
IEEE Transactions on Neural Networks
,
11
(3), 748-768. doi:
10.1109/72.846746
,
http://www.
Nitzsche, F. (1996). Smart spring-type actuation for helicopter individual blade control. In
6th
International Conference on Adaptive Structures
.
Paciello, V., & Pietrosanto, A. (2011).
A new approach of characterization: Magnetorheological
dampers
. doi:
10.1109/TIM.2010.2102391
Sanchez, C. C. (2011). Semi-active system for vibration suppression in pedestrian footbridges and
such like.
EP Patent ...
.
http://www.freepatentsonline.com/EP2314770.html
Santos, M., López, V. & Morata, F. (2010). Intelligent fuzzy controller of a quadrotor. In
2010
IEEE International Conference on Intelligent Systems and Knowledge Engineering (IEEE)
(pp.
141-146). ISBN 9781424467914, doi:
10.1109/ISKE.2010.5680812
Sun, T., Huang, Z. & Chen, D. (2005). Signal frequency-based semi-active fuzzy control for two-
stage vibration isolation system.
Journal of Sound and Vibration
,
280
(3-5), 965-981. doi:
10.
Titurus, B. (2013). Vibration control in a helicopter with semi-active hydraulic lag dampers.
Journal
of Guidance, Control, and Dynamics
,
36
(2), 577-588. doi:
10.2514/1.56111
,
http://arc.aiaa.org/
Yoshioka, H., Ramallo, J. C., & Jr, B. F. S. (2002). Smart base isolation strategies employing
magnetorheological dampers.
Journal of Engineering Mechanics
,
128
(5), 540-551.
Zhao, Y., & Wereley, N. M. (2004). Semi-active damping of ground resonance in helicopters using
magnetorheological dampers.
Journal of the American Helicopter Society
,
49
(4), 468-482.
Search WWH ::
Custom Search