推导了基于远程预报辨识的非线性广义预测控制算法。
A nonlinear generalized predictive control algorithm based on a Hammerstein model with long range predictive identification is presented.
将非线性系统等价时变线性化方法推广到连续非线性系统，设计了连续非线性系统的广义预测控制律。
The idea of the equivalent linearization is extended to a class of nonlinear continuous system. The continuous nonlinear generalized predictive controllers for the nonlinear system are designed.
将一类非线性系统等价表示为时变线性系统，研究了非线性系统的广义预测控制。
Generalized predictive control is implemented for a class of nonlinear system by substituting it with a time-varying linear system.
对于复杂的离散时间非线性系统，提出一种基于多模型的广义预测控制方法。
A multiple model based generalized predictive control is provided for complex nonlinear discrete time system.
因此我们针对死区非线性特性，采用非线性逆函数的全局I/O线性化方法，提出了具有非线性补偿的广义预测控制算法。
So with the wide I/O linearization method of nonlinear reverse function, the generalized prediction control algorithm with dead area nonlinear compensation is suggested.
文中依据非线性舰船模型，应用模糊神经网络简化出适应于舵减横摇控制器设计的模糊线性模型，并设计了广义预测控制器。
According to the nonlinear model of ship, a predigested fuzzy linear model is built adapted to rudder roll stabilization using fuzzy neural networks.
文中依据非线性舰船模型，应用模糊神经网络简化出适应于舵减横摇控制器设计的模糊线性模型，并设计了广义预测控制器。
According to the nonlinear model of ship, a predigested fuzzy linear model is built adapted to rudder roll stabilization using fuzzy neural networks.
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