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。
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。
A predictive control method of fuzzy internal model is proposed. It adopts internal model control, fuzzy predictor and fuzzy controller which are combined together to act on the controlled process.
采用内部模型控制、模糊预估器和模糊控制器相结合，对模糊内模预估控制方法进行了研究。
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。
An appraisal index system of the fitness of the internal control to strategy and the comprehensive fuzzy assessment model are constructed in the paper.
本文构建了内控制度战略适应性的评价指标体系，建立了模糊综合评价模型，并给出了相应的实例。
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；
The internal model control(IMC)was improved by using fuzzy control to adjust filter time constant of IMC, and it was applied in boiler combustion system.
该控制器是在典型推断控制的基础上进行简化和改进，并用模糊逻辑和推理来自适应地调节控制器的滤波器时间常数。
The internal model control(IMC)was improved by using fuzzy control to adjust filter time constant of IMC, and it was applied in boiler combustion system.
该控制器是在典型推断控制的基础上进行简化和改进，并用模糊逻辑和推理来自适应地调节控制器的滤波器时间常数。
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