2014
DOI: 10.2749/101686614x13830790993528
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Self-Tuning Closed-Loop Fuzzy Logic Control Algorithm for Adaptive Prestressed Structures

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Cited by 20 publications
(17 citation statements)
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“…Active brace systems have been tested using hydraulic actuators fitted as cross-bracing elements of the structure, directly controlling its deflections using actively controlled forces (Abdel-Rohman and Leipholz 1983;Reinhorn et al 1992). Displacement control in cable-stayed bridges can be obtained via control forces provided by the stay cables working as active tendons (Rodellar et al 2002;Xu et al 2003). Active cable tendons can also be used to change the amount of prestress in reinforced concrete beams and in steel trusses to limit displacements under loading (Schnellenbach and Steiner 2014).…”
Section: Adaptation In Structural Applicationsmentioning
confidence: 99%
“…Active brace systems have been tested using hydraulic actuators fitted as cross-bracing elements of the structure, directly controlling its deflections using actively controlled forces (Abdel-Rohman and Leipholz 1983;Reinhorn et al 1992). Displacement control in cable-stayed bridges can be obtained via control forces provided by the stay cables working as active tendons (Rodellar et al 2002;Xu et al 2003). Active cable tendons can also be used to change the amount of prestress in reinforced concrete beams and in steel trusses to limit displacements under loading (Schnellenbach and Steiner 2014).…”
Section: Adaptation In Structural Applicationsmentioning
confidence: 99%
“…Deflection reduction in cable stayed bridges can be obtained via control forces provided by the stay cables working as active tendons (Rodellar et al 2002;Xu et al 2003). Active cable-tendons have been used to change the amount of pre-stress in reinforced concrete beams and in steel trusses to limit displacements under loading (Schnellenbach and Steiner 2013). Integration of actuators has been shown to be an effective way to suppress vibrations in high stiffness-to-weight ratio truss structures (Preumont et al 2008).…”
Section: Adaptation In Structural Applicationsmentioning
confidence: 99%
“…Die Fuzzy Logic beruht auf der Erweiterung der klassischen booleschen Mengenlehre, indem die Zugehörigkeit eines Elements zu einer Menge vom herkömmlichen 0 „falsch“ oder 1 „wahr“ auf kontinuierliche Zugehörigkeitsfunktionen von 0 „gänzlich falsch“ bis 1 „gänzlich wahr“ erweitert wird (Bild 2). Durch diese unscharfen Zugehörigkeiten werden eine außerordentliche Generalisierungsfähigkeit sowie ein stabiles und redundantes Verhalten bei Verwendung der Regeln ermöglicht [13]. Zur Inferenz der Regelbasis, die aus Wenn‐dann‐Regeln mit Zusammenhängen zwischen unscharfen „fuzzy“ Mengen besteht, werden generalisierte logische Operationen eingesetzt, die die Anwendung der logischen Verknüpfung von Fuzzymengen ermöglichen.…”
Section: Introductionunclassified