... membership degree of the measurement belonging to the target. Clearly in these filters, the fuzzy clustering method has an important role; better approach causes better precision in target tracking. Recently, by using the information theory, the maximum entropy fuzzy data association filter (MEF-DAF...

...Kwee-Yan Teh; Christopher F. Edwards Entropy generation due to combustion destroys as much as a third of the theoretical maximum work that could have been extracted from the fuel supplied to an engine. Yet, there is no fundamental study in the literature that addresses the question of how...

... and modeling applications. This work seeks to quantify the amount of information about an output contained within an input space. The information theoretic quantity, conditional entropy, is shown to be an accurate predictor of model and diagnostic algorithm performance and therefore is a good choice...

... measured data are most informative about the condition of the structure. This selection is based on an information entropy measure of the uncertainty in the model parameter estimates obtained using a statistical system identification method. The methodology is developed for the uncertain excitation case...