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- W3145975478 abstract "Estimators are used when unknown states (or parameters) in a given mathematical model must be determined from available measurements. Usually, there are more measurements than are strictly needed to define the unknowns and the problem is called over-determined. This type of problem is variously referred to as state estimation, parameter estimation, multivariate regression, and curve fitting. All these terms essentially describe the same computational process. This paper illustrates and explains some robust state estimation methods and introduces original formulations that allow solutions to be obtained using general-purpose mathematical programming algorithms. Small-scale examples are used to illustrate the properties of these methods. All the examples are linear." @default.
- W3145975478 created "2021-04-13" @default.
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- W3145975478 date "2008-01-01" @default.
- W3145975478 modified "2023-09-27" @default.
- W3145975478 title "A Tutorial Introduction to Robust Estimators with Mathematical Programming Solutions" @default.
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