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non-measurable variables

Virtual sensing: methods and applications

Sep 29, 12:00 - 13:00

B9 L2 H1 R2322

virtual sensors effective estimation methods non-measurable variables optimization sustainable desalination health monitoring

Abstract Due to the inherent complexity, physical or economical constraints, a number of important physical and biological systems are inaccessible. Only few, often indirect, experimental data are available to extract information or to manipulate and control the system. Introduced as a promising technology to respond to the growing need for reliable, accurate, fast, robust and low-cost sensing strategies, virtual sensors are gaining importance in several fields. These sensors combine the available data with effective estimation methods and algorithms to access non-measurable variables of

Applied Mathematics and Computational Science (AMCS)

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