  In this paper, we analyze the convergence of a risk sensitive like filter
where the risk sensitivity parameter is time varying. Such filter has a Kalman
like structure and its gain matrix is updated according to a Riccati like
iteration. We show that the iteration converges to a fixed point by using the
contraction analysis.
