针对一类不确定的离散时间非线性非最小相位动态系统，提出了一种基于神经网络和多模型的直接自适应控制方法。
A direct adaptive control approach is proposed for a class of uncertain discrete time nonlinear non-minimum phase dynamical systems.
该算法对干涉相位图建立网络模型，将相位解缠的最小化问题转化为求网络最小费用问题，利用网络规划理论中成熟高效的算法求解。
This method changes the phase unwrapping problem into a kind of searching the minimum cost of a network which has mature and efficient methods in network theory.
该算法对干涉相位图建立网络模型，将相位解缠的最小化问题转化为求网络最小费用问题，利用网络规划理论中成熟高效的算法求解。
This method changes the phase unwrapping problem into a kind of searching the minimum cost of a network which has mature and efficient methods in network theory.
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