Optimizing a singular perturbed control system with incomplete information

A linear - quadratic control problem for singular perturbed autonomous systems is considered. It´s required to determine an optimal control under the lack of information about states, i.e. by using only the dominated states (full or not full measurements). In the paper there´s used the approach when the optimal control is minimax. Some computational aspects arrising because of singularities are discussed.