On control of stochastic systems with Markov interrupted observations

Linear discrete-time stochastic systems with abruptly changing parameters in the measurement mechanism are considered. The abrupt changes are modelled by a finite-state Markov chain. The multiple model partitioning approach is used to derive suboptimal control algorithms as the optimal solution is intractable. The proposed approach is illustrated by simulation examples.