Finite-dimensional risk-sensitive filters and smoothers for nonlinear discrete-time systems
Finite-dimensional optimal risk-sensitive filters and smoothers are obtained for discrete-time nonlinear systems by adjusting the standard exponential of a quadratic risk-sensitive cost index to one involving the plant nonlinearity. It is seen that these
|Collections||ANU Research Publications|
|Source:||IEEE Transactions on Automatic Control|
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