2004
DOI: 10.1016/j.engstruct.2003.10.005
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Independent modal space fuzzy control of earthquake-excited structures

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Cited by 29 publications
(8 citation statements)
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“…The premises of all the rules in the fuzzy rule table are first compared to the fuzzified inputs in order to determine which rules apply to the current situation. This matching process highlights the fuzzy input and output variables in the fuzzy rule table [38]. The inference process then determines the certainties of the fuzzy output variables from the fuzzified inputs, which correspond to the certainties of the fuzzy input variables.…”
Section: Semi-active Fuzzy Control Strategymentioning
confidence: 99%
“…The premises of all the rules in the fuzzy rule table are first compared to the fuzzified inputs in order to determine which rules apply to the current situation. This matching process highlights the fuzzy input and output variables in the fuzzy rule table [38]. The inference process then determines the certainties of the fuzzy output variables from the fuzzified inputs, which correspond to the certainties of the fuzzy input variables.…”
Section: Semi-active Fuzzy Control Strategymentioning
confidence: 99%
“…where (24) As the third case of outputs, the interbuilding displacement is introduced to describe the approach between the stories placed at the i-th level in the adjacent buildings (25) For the three-building system considered the vector of inter-building approaches is represented as, (26) The vector of interbuilding approaches can be obtained using the output matrix (27) Note that, as it was mentioned before, the middle building is the tallest one. It should be observed that positive values of the interbuilding approaches in equation (25) correspond to a reduction in the distance between the corresponding stories. Clearly, for a given interbuilding separation, large values of the interbuilding approaches may result in interbuilding collisions.…”
Section: Mohammad Gudarzimentioning
confidence: 99%
“…Schurter and Roschke [16] used a neurofuzzy technique to control a single-degreeof-freedom and four-degrees-of-freedom building models. Park et al [17] presented an independent modal space fuzzy control technique for the vibration control of earthquakeexcited structures. The technique adopts a two-step design procedure consisting of designing an optimal controller in the modal space and fuzzy tuning of predesigned modal control gains.…”
Section: Introductionmentioning
confidence: 99%