A new approximation technique to a certain class of nonlinear
filtering problems is considered in this dissertation. The method is
based on an approximation of nonlinear, partially-observable systems
by a stochastic control problem with fully observable state. The
filter development proceeds from the assumption that the
unobservables are conditionally Gaussian...