This paper presents a solution to certain problems in switched controller design for stochastic dynamical systems with a quadratic cost. The main result is a separation theorem for partial information systems. This result is then used to convert the partial information stochastic control problem to a complete information stochastic control problem. We also show that certainty equivalence does not hold. The optimal sequence of controllers can be determined via an appropriate solution to a dynamic programming problem.
['Efstratios Skafidas', 'Robin J. Evans', 'Iven Mareels', 'Anil Nerode']
Optimal Controller Switching for Stochastic Systems