On the computation of optimal stochastic observer gains

The design of a reduced-order continuous-time optimal stochastic observer has been based on the solution of a full-order covariance equation which restricts the implementation benefits of the reduced-order estimator. In this correspondence, it is shown that the gains of the reduced-order observer can be obtained by solving a reduced-order covariance equation, thus gaining the benefits of the reduced-order estimator.