Adaptive Kalman Filter for Detectable Linear Time-Invariant Systems

What is it about?

We present a self adjusting or adaptive technique to estimate the state of physical system when the noise in the system is unknown. The algorithm presented here adjusts its understanding of how big or small the noise entering the system is on the fly while simultaneously estimating the state of the system.

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