Adaptive iterative learning control with dead zone scheme

For a class of nonlinear systems with time-varying parametric uncertainties, a new adaptive iterative learning control (AILC) approach with dead zone scheme is proposed to address the problem of bounded noise. The design and analysis does not require the identical initial conditions and the assumption that the reference trajectory must not be varying along the iterative axis. The effectiveness and boundedness of the proposed method is guaranteed theoretically with the rigorous mathematical analysis.