中文摘要：

对于一类非线性系统,在有界的初态干扰和输出干扰的情况下,提出了一种开闭环PD型迭代学习算法。系统在初值任意的情况下,进行初态学习的开闭环PD型迭代学习控制,并且推导出了关于初态学习的收敛性的充分条件。通过与开环PD型和闭环PD型迭代学习算法作对比来进行仿真验证,仿真结果验证了算法的有效性。

英文摘要：

For a class of nonlinear systems in the case of the initial state interference and interference output community situation, a new open closed loop PD-type iterative learning algorithms were proposed. The initial value of the system in any case, to conduct open-closed loop PD-type iterative learning control of the initial state learn, and the sufficient conditions on the initial state of learning convergence were derived. Through the open loop PD-type and the closed loop PD-type iterative learning algorithm for comparison to simulation, simulation results demonstrate the effectiveness of the algorithm.