由于T_S模糊模型每条规则的结论部分是一个线性模型，因此整个模糊模型可以看作一个线性时变系统，从而将模糊预测控制器中的非线性优化问题转化为一个线性二次寻优问题，以方便求解。
Since the conclusion part is linear, the T_S fuzzy model can be treated as a linear time_varying system, the nonlinear program in NMPC turns into a linear quadratic problem that can be easily solved.
本文针对工业控制中一类常见的非线性时变系统，提出了一种利用参数反馈在线修正规则的模糊控制器；
This article puts forward a kind of self organization fuzzy controller with parameter feedback for a kind of common nonlinear time varying system in industry.
模糊控制以语言控制规则实现其推理过程，属于典型的非线性控制。
Fuzzy controller practice the reasoning process by language control rules, it has typical nonlinear characteristic.
结果证明，采用基于专家规则的模糊控制算法对于这种非线性、不确定的大惯性系统有着良好的控制效果。
It proves that the fuzzy controller based on the rules of experts is effective on the nonlinear, indefinite and inertial system.
首先使用动态逆方法求得系统的逆，使系统反馈线性化，然后，用具有在线规则自调整的模糊控制方法来确保系统的最终特性。
First, the aircraft dynamics is inverted to linearize the system dynamics. System performance is guaranteed by using fuzzy control method of. on -line self-tuning rules.
然后，采用最小二乘法求得T-S模糊模型的规则后件参数，从而建立起非线性系统的T-S模糊模型。
Secondly, the consequent parameters of rules are calculated by the least squares estimate. Thus, the T-S fuzzy model is set up.
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 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.
本文针对单瓶颈节点网络，考虑两个饱和非线性因素，制定控制规则，寻找优化参数，设计模糊控制器。
In this paper, single bottleneck node network is considered. With two saturation factors, we make control rules, find optimal parameters and design the controller.
利用模糊集合的隶属度函数，模糊条件句和模糊控制规则，实现对一阶线性时滞系统的控制。
Using membership function of fuzzy set, fuzzy condition sentence and fuzzy control rules, the fuzzy controller completes the control of the first-order linear delay system.
然后，通过设计的模糊推理规则进行模式的分类，这种分段线性分类器的设计提高了算法线性分类的能力。
Then patterns are categorized by the designed fuzzy inference regulation. The design of this piecewise linear classifier enhances the ability of linear classification of the algorithm.
基于系统的输入-输出数据，提出一种通过划分输入空间提取模糊规则的方法，并将该方法应用于建模非线性程度较高的干燥过程。
Based on the input-output data of the system, a new method to create fuzzy rules by dividing the input space was proposed and ap plied to modelling of the non-linear drying process.
对非线性系统建立T-S模糊模型，并用正交最小二乘法（OLS）对模糊规则的后件参数进行辨识。
T S fuzzy model is constructed for nonlinear system in this paper, and orthogonal least squares (OLS) method is used to identify the parameters of fuzzy ruler consequents.
采用自定中心、非线性量化、控制规则自调整等方法实现了模糊控制算法的自适应。
The self-adaptive fuzzy control algorithm was achieved by using auto-center, non-linear quantification, and self-adjust rules and so on.
而基于模糊规则的模式识别方法是一类可理解性好的非线性方法，但迄今为止还没有被应用于多分类器融合问题中。
As a nonlinear method, the fuzzy rule-based pattern recognition has good comprehensibility, but has not been applied to the multiple classifier fusion.
运用线性模糊控制规则对锅炉对象的主汽压进行了仿真研究和实时控制，最后给出了模糊控制同传统方法的比较结果。
Linear control rules are used to control the steam boiler system. The fuzzy logic controller has been tested in the real plant and results obtained...
散体的颗粒和孔隙都具有不规则性、自相似性、模糊性和非线性等特点，且整体结构表现出复杂性。
Bulk granules and pores exhibit irregularity, self-similarity fuzziness and non-linearity. And further, the overall structure seems very complicated.
散体的颗粒和孔隙都具有不规则性、自相似性、模糊性和非线性等特点，且整体结构表现出复杂性。
Bulk granules and pores exhibit irregularity, self-similarity fuzziness and non-linearity. And further, the overall structure seems very complicated.
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