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Duality for Nonlinear Filtering. (arXiv:1809.10762v1 [math.PR])
来源于:arXiv
Nearly 60 years ago, in a celebrated paper of Kalman and Bucy, it was
established that optimal estimation for linear Gaussian systems is dual to a
linear-quadratic optimal control problem. In this paper, for the first time, a
duality result is established for a general nonlinear filtering problem,
mirroring closely the original Kalman-Bucy duality of control and estimation
for linear systems. The main result is presented for a finite state space
Markov process in continuous time. It is used to derive the classical Wonham
filter. The form of the result suggests a natural generalization which is
presented as a conjecture for the continuous state space case. 查看全文>>