In this talk we discuss recent advances in variational analysis and its applications in dynamic optimization models governed by nonconvex differential inclusions. Our approach is based on discrete approximations of differential systems and thus related to both numerical and theoretical issues in optimization and control. The main results justify stability of discrete approximations and establish necessary optimality conditions of the Euler and Hamiltonian types.