In this paper, the influence about system initialshift and system parameter disturbance on convergence of the algorithm is studied.
本文研究系统状态初值漂移和系统参数扰动对迭代学习控制算法收敛性的影响。
2
Theoretical analysis indicates that iterative learning control algorithm is robust if initialshift and System parameter disturbance within limited bound.
理论分析表明，当系统状态初值漂移和系统参数扰动在一定范围内，迭代学习控制算法关于是鲁棒的。
3
The selection of the initialshift register of M-sequence is a key technique in pulse compression waveform design whose pulse compression waveform must have low peak power and large compression ratio.