Iterative learning controller designs: a finite time dead-zone approach
迭代学习控制器设计: 一种有限时间死区方法

The problem of iterative learning control in the presence of initial repositioning errors is addressed without assuming the bound on the repositioning errors to be small enough for the consideration of convergence.For the controller design,a finite time dead-zone approach is applied,where initial rectified attractor is introduced and adopted for constituting the dead-zone.It is also shown that all the signals in the closed-loop are bounded and the resultant tracking error lies within the confined dead-zone,by which the complete tracking over a pre-specified time-interval is achieved.Finally,the effectiveness of the proposed method is verified through theoretical and numerical results for systems with both unknown time-invariant and time-varying parameters.