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提出了一种基于Ｈ∞范数优化的大系统分散状态反馈控制的求解方法。首先讨论了大系统分散Ｈ∞优化控制问题，然后提出了一种迭代算法。这种算法应用可行方向阵，保证了迭代过程的收敛性和闭环系统的稳定性，并使闭环系统传递矩阵的Ｈ∞．范数趋于最优值。作者还给出了１个设计算倒，说明了该方法的应用及收敛性好和实用性强的特点。
A method to solve decentralized state feedback control of large-scale systems based on H∞ norm optimization is proposed. Firstly, the problem of large system decentralized H∞ optimization control is discussed, and then an iterative algorithm is proposed. This algorithm uses a feasible steering matrix to ensure the convergence of the iterative process and the stability of the closed-loop system, and to make the closed-loop system transfer the H∞ of the matrix. The norm tends to the optimal value. The author also gives a calculation over calculation, which shows the application of the method and the characteristics of good convergence and practicality.