Abstract
The pertinent algorithms are developed for determining the steady-state covariance matrices associated with continuous measurement Kalman filtering, prediction, and smoothing of time-invariant systems. The formulas represent closed-form solutions to the problem as opposed to recursively derived asymptotic solutions. They can be used as a single unified set of algorithms.
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