© 1990 by Institute of Mathematics and its Applications
A Small Random Perturbation Analysis of a Partially Observable LQG Problem for Systems with Markovian Jumping Parameters
National Laboratory for Scientific Computation, Department of Research and Development Rua Lauro Müller 455, 22290 Rio de Janeiro, Brazil
A variant of Shannon's entropy function is used in conjunction with Itô's calculus to study the loss of optimality of a certain average control policy proposed by Fragoso (1988), for a class of partially observable LQG problems for systems with Markovian jumping parameters, when a small random perturbation (a small diffusion) is considered. It is shown that for a perturbation of order
the average control is (
2 log
1)-optimal in some sense.