  We study a stochastic recursive optimal control problem in which the cost
functional is described by the solution of a backward stochastic differential
equation driven by G-Brownian motion. Some of the economic and financial
optimization problems with volatility ambiguity can be formulated as such
problems. Different from the classical variational approach, we establish the
maximum principle by the linearization and weak convergence methods.
