The simulation example verifies the effectiveness of closed-loop iterative learning control law.
仿真实例说明闭环迭代学习律的有效性和快速性。
The design scheme of the classical D-type iterative learning control law depends on the relative degree of the controlled systems.
传统的D型迭代学习控制的控制律设计方案依赖于被控系统的相对度。
Some simulation results show the rationability of stable in the conditional expectation and the efficiency of improved iterative learning control law.
一些仿真结果表明给出的依条件期望稳定的合理性，改进的迭代学习控制律和稳定性定理的有效性。
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