All know that most of the optimization of economic system can be converted into conditional extreme value problem which takes nonlinear operator or multi operator as constraints.
许多经济系统中的优化问题，可化为用单值非线性算子或多值算子形成约束条件的条件极值问题。
In single operator multi agent network robot system, the data congestion in the network is the key bottleneck of the whole system.
在单操作者多智能体somr的网络机器人系统中，网络数据传输中的拥塞是瓶颈问题。
Based on the class of nonlinear multi-variable system with the nonlinear operator and couple appearing in the input of system, the online decoupling control with NN is studied in this thesis.
本文主要针对非线性算子及耦合均在输入端的一类非线性多变量系统，研究如何采用神经网络实现其在线解耦控制。
Due to the complexity of the nonlinear system, it is classified as five kinds of discrete nonlinear multi-variable system according to nonlinear operator.
鉴于非线性多变量系统的极端复杂性，将离散的非线性多变量系统按非线性算子的不同分为五类。
Due to the complexity of the nonlinear system, it is classified as five kinds of discrete nonlinear multi-variable system according to nonlinear operator.
鉴于非线性多变量系统的极端复杂性，将离散的非线性多变量系统按非线性算子的不同分为五类。
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