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- W2145992022 abstract "An intelligent fuzzy weighted input estimation method is used to estimate the force inputs of a cantilever beam structural system in this study. The Kalman filter without the input term and the adaptive weighted recursive least square estimator are two main portions of this method. In the estimation method, the efficient estimator is weighted by the fuzzy weighting factor proposed based on the fuzzy logic inference system. By directly synthesizing the Kalman filter with the estimator, this work presents an efficient robust forgetting zone, which is capable of providing a reasonable tradeoff between the tracking capability and the flexibility against noises. The input forces of structure system can be estimated by this method to promote the analysis reliability of the dynamic performance. The simulation results are compared by alternating between the constant and adaptive weighting factors. The results demonstrate that the application of the presented method is successful in coping with the dynamic system of cantilever beam." @default.
- W2145992022 created "2016-06-24" @default.
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- W2145992022 date "2011-06-01" @default.
- W2145992022 modified "2023-09-28" @default.
- W2145992022 title "Intelligent Estimation Method for the Force Inputs Determination of a Cantilever Beam Structural System" @default.
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- W2145992022 doi "https://doi.org/10.1109/cisis.2011.28" @default.
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