文中分析了多变量非线性内模控制结构的鲁棒稳定性及动态性能。
The robust stability of the closed-loop system is proved, and its performance is analyzed.
该方案结合了非线性内模控制、自适应机制和强酸当量（SAE）的概念。
The approach is based on combining the concept of non-linear internal model control, strong acid equivalent(SAE) and self-adaptive mechanism.
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。
An internal model control strategy is proposed to a class of open loop stable nonlinear systems described by fuzzy neural networks.
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。
This paper presents an approximate internal model control approach for unknown nonlinear discrete SISO systems based on the support vector machine(SVM).
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。
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.
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。
Aiming at the strong nonlinear multiple variable coupling system, a new multivariable internal model control based on T-S fuzzy model was proposed.
对于多变量非线性的对象，如何用简单实用的内模控制方法取得良好的控制效果，国内外至今仍在研究。
But employing the simple IMC method to solve multivariable nonlinear control problem haven't been researched in depth.
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。
Multiple internal model control design strategy was developed for a class of nonlinear systems.
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。
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.
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。
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。
Based on PRAMcomputing model, the parallel processing for adaptive control algorithm based on fuzzy internal model, which aimed at nonlinear system, is discussed.
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