  In this paper, we derive team and person-by-person optimality conditions for
distributed differential decision systems with different or decentralized
information structures. The necessary conditions of optimality are given in
terms of Hamiltonian system of equations consisting of a coupled backward and
forward differential equations and a Hamiltonian projected onto the subspace
generated by the decentralized information structures. Under certain global
convexity conditions it is shown that the optimality conitions are also
sufficient.
