This paper considers robust filtering for a nominal Gaussian state-space
model, when an incremental relative entropy tolerance is applied to each
dynamical model component. The problem is formulated as a dynamic minimax game
which is shown to admit a saddle point. The structure of the saddle point is
characterized by applying and extending results presented earlier in [1] for
static least-squares estimation.