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		题名	作者	年代	出处	被引量
	1	Phenomenological Based Soft Sensor for Online Estimation of Slurry Rheological Properties显示文摘This work proposes a soft sensor based on a phenomenological model for online estimation of the density and viscosity of a slurry flowing through a pipe-and-fittings assembly(PFA). The model is developed considering the conservation principle applied to mass and momentum transfer and considering frictional energy losses to include the variables directly affecting slurry properties. A reported proposal for state observers with unknown inputs is used to develop the first block of the observer structure. The second block is constructed with two options for evaluating slurry viscosity, generating two possible estimator structures, which are tested using real data. A comparison between them indicates different uses and capabilities according to available process information.	Jenny L.Diaz C. Diego A.Munoz Hernan Alvarez	2019	International Journal of Automation and computing2019，16，5：	1
	2	State Estimation Using Non-uniform and Delayed Information: A Review显示文摘The study and application of methods for incorporating nonuniform and delayed information in state estimation techniques are important topics to advance in soft sensor development. Therefore, this paper presents a review of these methods and proposes a taxonomy that allows a faster selection of state estimator in this type of applications. The classification is performed according to the type of estimator, method, and used tool. Finally, using the proposed taxonomy, some applications reported in the literature are described.	Jhon A.Isaza Hector A.Botero Hernan Alvarez	2018	International Journal of Automation and computing2018，15，2：	0

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