Sherman’s theorem

I present the use of Sherman’s Theorem, and a development approach, for optimal solutions to real-time estimation problems that are multidimensional, nonlinear, stochastic, and have random multidimensional forcing function modeling errors that drive the state. Satisfaction of Sherman’s Theorem guarantees that the mean-squared state estimate error on each state estimate component is minimized. Sherman’s Theorem is not new, but my application of …