On trajectory optimization for polynomial systems via series expansions

We present algorithms for the design of feasible and optimal trajectories of nonlinear control systems. We focus on stable polynomial control systems linear in the controls. We prove existence of local solutions near the minimum energy control for the linearized system and we investigate provably convergent iterative schemes. Finally, we formulate the trajectory optimization problem as a low dimensional nonlinear program.