Theoretical analysis indicates that iterative learning control algorithm is robust if initial shift 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。
Following theoretical analysis, an efficent heuristic algorithm combined with the branch-and-bound algorithm was developed.
并通过理论分析提出一种启发式与分枝定界相结合的算法。
Following theoretical analysis, an efficent heuristic algorithm combined with the branch-and-bound algorithm was developed.
并通过理论分析提出一种启发式与分枝定界相结合的算法。
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