Learning control with an arbitrary initial state

A new learning control scheme for both linear time invariant systems and a class of nonlinear systems was studied. The scheme includes two kinds of learning, i.e. the input and initial state learning of the system are carried out simultaneously, so that there is no requirement on the initial state learning of the dynamical system at the beginning of learning process. The feasibility of this scheme was demonstrated by simulation.