Conditional learning control for uncertain nonlinear systems

A conditional learning control is derived for uncertain nonlinear systems to track repetitive trajectory under the alignment initial condition. The learning process is conditional as it is performed only when the system response is mainly determined by the input. The major advantage of this method over adaptive ILC is that it can handle non-parametric uncertainties. A simulation example is presented to illustrate the performance and implementation of the conditional ILC.