• An internal model control strategy is proposed to a class of open loop stable nonlinear systems described by fuzzy neural networks.

    针对一类开环稳定的非线性系统,提出了一种基于模糊神经网络的非线性内模控制方案。

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  • In the internal model control design for nonlinear systems, the precise forward and inverse models of plant are required, but it is impossible in the majority of practical plants.

    非线性动态系统的内模控制要求建立精确的对象正模型和逆模型,这对于大多数实际对象是难以做到。

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  • The temperature controller is designed against the nonlinear delay object about textile dyeing by using the internal model control theory.

    针对纺织染色这类具有典型非线性时滞的对象,利用肉模控制原理,设计了适用于染色过程的温度控制器。

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  • Aiming at the strong nonlinear multiple variable coupling system, a new multivariable internal model control based on T-S fuzzy model was proposed.

    针对强非线性、多变量耦合系统,提出了一种基于动态t - S模糊模型的约束内模控制策略。

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  • The control scheme adopts a group of fuzzy rule sets as internal model of the nonlinear plant, where a fuzzy rule set represents a local linear system.

    该算法以一组模糊规则作为非线性对象内部模型,一条模糊规则表示一个局部线性系统;

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  • A nonlinear internal model control (IMC) strategy based on radial basis function (RBF) network models was proposed for bulk polymerization of styrene.

    文中研究基于径向基(RBF)神经网络算法的内模控制策略在苯乙烯本体聚合反应相对分子质量分布控制领域的应用。

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  • Multiple internal model control design strategy was developed for a class of nonlinear systems.

    本文提出了基于多模型的内模控制方法,它对非线性过程的控制具有良好的性能。

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  • Based on PRAMcomputing model, the parallel processing for adaptive control algorithm based on fuzzy internal model, which aimed at nonlinear system, is discussed.

    针对非线性系统,在PRAM计算模型上,探讨基于模糊内模自适应控制算法的并行处理。

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  • Taking advantage of the neural network's approximate ability to any nonlinear system, the internal model control strategy was extended to the quality control of polymerization.

    利用神经网络对非线性系统的逼近能力,把内模控制推广到聚合反应过程质量指标控制这一非线性系统中。

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  • This paper presents an approximate internal model control approach for unknown nonlinear discrete SISO systems based on the support vector machine(SVM).

    该文对于未知非线性离散单输入单输出(SISO)系统提出了一种基于支持向量机的内模控制方法。

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  • This paper presents an approximate internal model control approach for unknown nonlinear discrete SISO systems based on the support vector machine(SVM).

    该文对于未知非线性离散单输入单输出(SISO)系统提出了一种基于支持向量机的内模控制方法。

    youdao

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