Neuro-Fuzzy Control for Semi-active Dampers - Fuzzy Modeling and Control: Theory and Applications - page 179

by a helicopter. In this case, the introduction of the neuro-fuzzy system is addressed
to diminish the effect of the transmitted vibrations on a vision system. In this way,
the image acquisition process can be notably improved increasing the quality of
the captured images. It is important to point out that the improvement of the image
acquisition process contribute to have more clear images overall when a helicopter
vision system is working in large distances, as it is the case in search and rescue
operations. It is the case in air-sea rescue (ASR) or ground search and rescue. On the
other hand, the second application has been focused on span structures, where the
dimensions of the system to stabilize are different and consequently the used strategy
is a little different. However, it is shown that the neuro-fuzzy methods can be also
applied successfully in this case.
Acknowledgments This work has been supported by the Spanish Government DPI2010-20751
and DPI2010-20751-C02-02 of Science and Innovation Ministry and by the grant of the Agencia
Canaria de Investigación, Innovación y Sociedad de la Información of Canarias Government, co-
financed with the European Social fund.
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