What is it about?
Estimators are mathematical formulations helping to estimate variables that usually are not measured by a physical device (sensor). These estimators use a mathematical model accounting for the phenomena of interest and some available measurements. In this case, we formulate a state estimator able to cope with uncertainties in the model and also able to integrate constraints over the main variables which make its use closer to real needs.
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Why is it important?
It helps to complete the body of knowledge of around the topic.
Perspectives
These type of tools are extremely helpful to make complex engineering systems work in a proper way. The applications range from chemical and biochemical plants to undermanned vehicles, robots, and biomedical devices such as the artificial pancreas.
Dr Jose Garcia-Tirado
Central Virginia Community Service Board
Read the Original
This page is a summary of: A new approach to constrained state estimation for discrete-time linear systems with unknown inputs, International Journal of Robust and Nonlinear Control, July 2017, Wiley,
DOI: 10.1002/rnc.3874.
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