Filtering and System Identification: A Least Squares Approach

By M. Verhaegen, Vincent Verdult. 2007

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Formulas for Data-Driven Control: Stabilization, Optimality, and Robustness (2019, background): “In this section, we revisit the main result in [27] and state a few auxiliary results inspired by subspace identification [2], which will be useful throughout the article.”
Visual-Inertial Sensor Fusion: Localization, Mapping and Sensor-to-Sensor Self-calibration (2011, methodology): “For linear time-invariant systems, observability can be determined using any of several straightforward tests, such as the well-known linear observability matrix rank test (Maybeck 1979) or the Popov–Belevitch–Hautus eigenvector test (Verhaegen and Verdult 2007).”
Using Inertial Sensors for Position and Orientation Estimation (2017, unknown): “[82, 150], if our position and orientation estimation problems would be LS problems, the covariance of the estimates would be given by the inverse of the Hessian of the objective function (4.”