ISSN:
1432-0606
Keywords:
Risk-sensitive stochastic optimal control
;
Finite-dimensional filters
;
Hidden Markov models
;
Viscosity solutions
;
93E20
;
93E11
;
49L25
Source:
Springer Online Journal Archives 1860-2000
Topics:
Mathematics
Notes:
Abstract In this paper the optimal control of a continuous-time hidden Markov model is discussed. The risk-sensitive problem involves a cost function which has an exponential form and a risk parameter, and is solved by defining an appropriate information state and dynamic programming. As the risk parameter tends to zero, the classical risk-neutral optimal control problem is recovered. The limits are proved using viscosity solution methods.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF01182472
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