Abstract
A discrete-time control problem of a finite-state hidden Markov chain partially observed in a fractional Gaussian process is discussed using filtering. The control problem is then recast as a separated problem with information variables given by the unnormalized conditional probabilities of the whole path of the hidden Markov chain. A dynamic programming result and a minimum principle are obtained.
Original language | English |
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Pages (from-to) | 350-355 |
Number of pages | 6 |
Journal | Systems and Control Letters |
Volume | 60 |
Issue number | 5 |
DOIs | |
Publication status | Published - May 2011 |