The problem of controlling a noisy process so as to prevent it from le
aving a prescribed set has a number of interesting applications. In th
is paper, new approaches to this problem are considered. First, a risk
-sensitive criterion for a stochastic diffusion process model is exami
ned, and it is shown that the value is a classical solution of a relat
ed PDE. The qualitative properties of this criterion are favorably con
trasted with those of existing criteria in the risk-averse limit. It i
s proved that in the risk-averse limit the value of the risk-sensitive
criterion converges to a viscosity solution of a first-order PDE. It
is then demonstrated that the value function of a deterministic differ
ential game is also a viscosity solution to the PDE. This game gives a
robust control formulation of the escape time problem and is analogou
s to H-infinity control. In particular, the opposing player attempts t
o push the process out of the prescribed set and suffers an L-2 cost f
or his efforts. Lower bounds on the escape time as a function of this
cost are obtained.