一种动态大系统实时递阶控制方法
A New Method for Real-Time Hierarchical Controlof Dynamical Large-Scale Systems
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摘要: 为了克服数值计算方法的困难,给出了一种用于求解动态大系统递阶优化控制问题的神经网络模型,构成该神经网络的局部优化子网络和协调子网络同时工作,给出最优解,具有很高的求解效率,并且该网络具有全局渐近稳定性,便于硬件实现及实际应用。Abstract: To overcome computational difficulties existing in numerical methods, a neural network model for effectively solving the problems of dynamical hierarchical control of large-scale systems is presented. The local optimization sub -networks and the cordination sub -networks can work simultaneously to provide the optimal solutions to the original problems. The neural network has global stability. lt is suitable for implementation by an integrated-circuit and for real-time applications .
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