  This paper is concerned with a two-person zero-sum indefinite stochastic
linear-quadratic Stackelberg differential game with asymmetric informational
uncertainties, where both the leader and follower face different and unknown
disturbances. We take a robust optimization approach and soft-constraint
analysis, a min-max stochastic linear-quadratic optimal control problem is
solved by the follower firstly. Then, the leader deal with a max-min stochastic
linear-quadratic optimal control problem of forward-backward stochastic
differential equations in an augmented space. State feedback representation of
the robust Stackelberg equilibrium is given in a more explicit form by
decoupling technique, via some Riccati equations.
