仿真结果表明，规则自适应模糊控制具有较好的动态和静态性能，不但具有很好的工艺曲线跟踪性能，而且对过程参数的变化有很强的适应性。
The simulation results show that the rule-adaptive fuzzy control has better static and dynamic performances, and follows filling curves very well and ADAPTS to the changes of process parameters.
介绍了一种能够根据位置误差和误差变化率自动调整模糊规则和比例因子的规则可调自适应模糊控制器。
A kind of adaptive fuzzy controller was introduced whose control-rule and scale-gene can be adjusted by itself according to the system position error and error change ratio.
给出了自适应模糊控制技术的控制规则集、知识库修正方法和控制策略，并进行了系统仿真研究和性能分析。
Provides the control rule sets, methods of revising knowledge base and control strategies and carries on simulation research and performance analysis for the system.
本文给出了利用自适应神经元学习、修改模糊控制规则的新方法。
This paper proposes a new method to learn fuzzy control rules using adaptive neural element.
当获得了足够的数据后，通过自适应神经网络模糊系统ANFIS来训练产生隶属度函数和模糊规则，即产生模糊控制器。
When obtaining plenty data, self-adapt neural network fuzzy control system ANFIS come into being subjection degree function and fuzzy rule, namely come into being fuzzy controller.
并以工业电炉为控制对象，通过在线辨识模糊模型获得模糊控制规则，实现了模糊自适应控制。
Then with an industrial furnace as controlled object, fuzzy control rule is obtained and fuzzy self adaptive control is realized by on line identifying fuzzy model.
应用变结构控制理论，引入模糊规则自适应地调整趋近律，设计了制导律。
Fuzzy logic rules are introduced to adjust approaching law adaptively, and the guidance is designed by applying variable structure control theory.
提出了基于可调模糊规则及可调输出尺度变换因子的TCSC自适应模糊阻尼控制器的设计方法。
A new scheme of adaptive fuzzy damping controller of TCSC, based onadjusting control rules and output scaling factor, is proposed.
讨论了模糊系统的输入模糊集、模糊规则及自适应规则产生的方法，基于模糊集合的无线通信控制器设计。
The input fuzzy set, fuzzy rule and adaptive rule are discussed, and the wireless communication controller based on fuzzy set is designed.
同时还给出了一种自适应控制算法，利用它可以调整模糊规则以适应系统的时变性。
An adaptive control algorithm is given to adjust fuzzy rules to adapt system change.
应用一种变结构神经网络算法对初始化的模糊规则进行调整，提高模糊控制规则的自学习和自适应能力。
A kind of variable structure neural network algorithm is adopted to adjust fuzzy rules, and improves the ability of self-studying and self-adjusting in fuzzy control rules.
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.
通过一种新学习算法的导出，并结合模糊逻辑系统中的模糊基函数，给出了一种带有通用规则库的模糊滑模自适应控制器。
Universal optimization for adjustable parameters of fuzzy based function is realized by using GA and finding adjust law of parameters in general designing adaptive controller is replaced.
根据造纸过程中纸张张力的特点及控制要求，建立了控制系统的数学模型，提出了一种具有自适应能力的模糊pid控制器，分析了控制器的结构和规则。
According to the characteristics and control quality for tensile force of paper, the module of control system is estimated and a fuzzy PID controller with adaptive ability is put forward in the paper.
但由于模糊控制技术本身存在着建立模糊规则比较困难，自适应能力和自学习能力差等缺点。
But building the fuzzy rules is hard, and the ability of self-adapting and self-study are poor in the fuzzy control technology.
这种自适应模糊控制器基于模糊推理规则自学习和自调整的控制算法，无需知道太多的专家控制规则，因此解决了制冷系统MIMO模糊推理规则难以获取的问题。
This adaptive fuzzy controller is based on fuzzy inference rules self-learning without needing so much expert control rules, which solves the problem of acquiring MIMO fuzzy inference rules.
介绍室内采光控制系统及工作原理，基于模糊控制规则的自适应模糊控制方法及其应用。
Also the paper introduces the indoor lighting control system and its operating principle, as well as the method of self - adaptive fuzzy control based on fuzzy control rules and its application.
引入温湿度参考模型，构造了模糊自适应机构，实现了在线修改模糊控制系统规则库。
Constructs the fuzzy self-adaptive organization by involving a temperature-humidity reference model, which can modify the rules of fuzzy controller on line.
引入温湿度参考模型，构造了模糊自适应机构，实现了在线修改模糊控制系统规则库。
Constructs the fuzzy self-adaptive organization by involving a temperature-humidity reference model, which can modify the rules of fuzzy controller on line.
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