Local dynamic linearization is applied to the system at each sampling point. Then control action is gained using generalized predictive control (GPC) based on the linearized model.
然后在每一个采样点对系统进行局部动态线性化，根据得到的系统线性化模型对系统采取广义预测控制（GPC）方法得到当前的控制动作。
Since the design is based on the nonlinear dynamic system without any linearization, the nonlinear property of the system is completely used for nonlinear robust robust controller.
由于在控制器的设计中，未用到任何线性化方法，因而所得控制器充分利用了系统的非线性特性。
Since the controller design is based completely on the nonlinear dynamic system without any linearization, the nonlinear property of the system is used for nonlinear robust controller design.
由于在控制器的设计中，未用到任何线性化方法，因而所得控制器充分利用了系统的非线性特性。
Based on the gas flowing equation, each unit dynamic mathematical model was established using linearization and Laplace transform.
根据气体流动方程，通过线性化和拉氏变换，建立各单元的动态数学模型。
This paper deals with the dynamic feedback linearization problem of mechanical driftless systems.
研究非完整无漂移力学系统的动态反馈线性化问题。
Its dynamic control mode of vehicle tyre is derived by dynamics analysis, and the linearization, controllability and observability of the system are analyzed.
通过动力学分析，建立了车型弹性倒立摆系统的动力学控制模型，并对系统进行了线性化和可控、可观性分析。
A discussion is devoted to the design of a self adaptive and nonlinear dynamic neural network inversion controller according to the feedback linearization theory.
根据反馈线性化理论，讨论了神经网络自适应非线性动态逆控制设计。
Owing to estimate the statistics of virtual noise on line, it overcomes the bad affect caused by linearization of nonlinear dynamic model.
它能够在线估计虚拟系统噪声的统计特性，从而消除了动态模型线性化误差带来的不良影响。
An equivalent linearization method for obtaining the response of nonlinear multi-degree-of-freedom dynamic systems to nonstationary gaussian excitation with nonzero mean is presented.
本文提出了一种在非零均值非平稳高斯激励下获得非线性多自由度系统响应的等效线性化方法。
The dynamic model of manipulators is introduced and its linearization is conducted to reduce algorithm complexity and guarantee real-time.
介绍了机械臂动力学模型并进行了线性化处理，以降低算法复杂度、保证实时性。
In this paper, a subsection linearization method is developed and used in analyzing the dynamic response of nonlinear random structures.
提出了分析非线性随机结构响应的一种分段线性化方法。
In this paper, a subsection linearization method is developed and used in analyzing the dynamic response of nonlinear random structures.
提出了分析非线性随机结构响应的一种分段线性化方法。
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