%0 Journal Article
	%A Ming-Hui Lee and  Tsung-Chien Chen and  Yuh-Shiou Tai
	%D 2010
	%J International Journal of Civil and Environmental Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 41, 2010
	%T Intelligent Fuzzy Input Estimator for the Input Force on the Rigid Bar Structure System
	%U https://publications.waset.org/pdf/11532
	%V 41
	%X The intelligent fuzzy input estimator is used to estimate
the input force of the rigid bar structural system in this study. The
fuzzy Kalman filter without the input term and the fuzzy weighting
recursive least square estimator are two main portions of this method.
The practicability and accuracy of the proposed method were verified
with numerical simulations from which the input forces of a rigid bar
structural system were estimated from the output responses. In order to
examine the accuracy of the proposed method, a rigid bar structural
system is subjected to periodic sinusoidal dynamic loading. The
excellent performance of this estimator is demonstrated by comparing
it with the use of difference weighting function and improper the
initial process noise covariance. The estimated results have a good
agreement with the true values in all cases tested.
	%P 115 - 121