Application of a recursive minimum-norm learning controller to precision motion control of an underactuated mechanical system

A recursive method is first presented for obtaining the minimum-norm solution of a linear system of equations. The formulation is then extended to the case of a nonlinear system of equations, the result of which is used as the basis of a repetitive learning controller that is applied experimentally to precision motion control of an underactuated mechanical system tracking a periodic trajectory.