The minimax filtering problem is studied for a singularly perturbed quasi-linear system, which operates in the presence of uncertain inputs, whose realizations are subjected to integral quadratic constraints. A procedure for computing successive approximations to the information set (the set of feasible states of the system which are compatible with the results of the current measurements) is proposed.