The chaotic synchronizations of neural networks linked by a nonlinear coupling function were discussed.
研究了通过特殊构造的非线性函数耦合连接的神经网络的混沌同步问题。
The element coupling shape function matrices are derived by means of geometrically nonlinear strain displacement relation under small deformation assumption.
利用几何非线性的应变-位移关系式，在小变形假设条件下确定了单元耦合形函数。
The element coupling shape function meatrices are derived by means of geometrically nonlinear strain displacement relation un-der small deformation assumption.
利用几何非线性的应变-位移关系式，在小变形假设条件下确定单元耦合形函数。
It is no need for this algorithm to linearize the nonlinear system and to decouple the strong-coupling MIMO system. It is also convenient to use the penalty function to solve the restriction.
该算法对非线性系统不需要进行线性化，对带强耦合的MIMO系统不需要解耦，使用罚函数处理约束也非常方便。
It is no need for this algorithm to linearize the nonlinear system and to decouple the strong-coupling MIMO system. It is also convenient to use the penalty function to solve the restriction.
该算法对非线性系统不需要进行线性化，对带强耦合的MIMO系统不需要解耦，使用罚函数处理约束也非常方便。
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