Abstract
The reliability of controlled structures has been a subject of considerable concern in recent years. The present study investigated the effects of a probabilistic fuzzy logic controller (PFLC) as an intelligent controller and a linear quadratic regulator (LQR) controller as a classic controller on the reliability of a structure. Monte Carlo reliability analysis has been used to determine the reliability of the controlled structures. A single-degree-of-freedom (SDOF) system and multiple-degree-of-freedom (MDOF) structures with different tendon arrangements were considered. The structures were subjected to random Gaussian white noise as excitation and the variables considered were random Gaussian samples with a dispersion coefficient of 10%. The probability of failure could be estimated by PFLC at up to 10-5 as the threshold level increased in MDOF structures. Moreover, the results indicate that PFLC was more accurate than the LQR controller for a lower probability of failure because the associated limit state function includes stochastic uncertainty.
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