该控制器通过模糊推理实现PID控制器参数的在线调整。
The controller achieves the adaptation of normal PID controller parameters on line by fuzzy inferences.
为了更好地控制飞机的着陆飞行，采用模糊推理的方法，实现飞行高度和飞行速度的解耦控制。
In order to control the plane's landing process much better, this paper decouples height and velocity with fuzzy reasoning.
为同时抑制时滞及非最小相位系统的超、负调和加快系统响应，本文提出一种基于模糊推理的智能内模控制系统。
Aiming to decrease overshoot, undershoot and settling time of non-minimum phase system with time delay, this paper proposes an intelligent IMC control system based on fuzzy inference.
根据模糊推理估计集成不确定边界，利用双曲正切函数代替符号函数实现软切换连续控制。
The integration uncertain border value is estimated by fuzzy inference and the soft switch control is accomplished by tanh (x) function replacing SGN (x).
变工作排量；模糊推理；行驶工况判断；驾驶员意图识别；控制技术；应用。
Variable power displacement; Fuzzy reasoning; Judgment of running state; Identification of driver's intention; Control technology; Application.
提出一种基于步态规划分级结构的自适应网络模糊推理系统控制策略，该方法不需要确定双足机器人运动学和动力学模型。
Proposed an adaptive network fuzzy inference system control strategy based on hierarchy structure of gait planning, which do not require detailed kinematics or dynamic biped models.
针对数控机床进给系统特点及其性能要求提出了一种参数自整定模糊pid控制器，利用模糊推理的方法实现对PID参数的在线自动调整。
Based on the feature of the nc system and its performance demands, this paper brings forward a self-adaptive fuzzy PID controller to realize PID parameters self-adaptive online.
结合MCGS工控组态软件，实现模糊推理引擎的实时控制。
With the industrial control software, MCGS, the fuzzy inference engine was used to achieve the real-time control.
利用模糊控制器的模糊推理能力来实现煤气阀门开度在线调整，以达到优化控制的目的。
It can use the fuzzy theory of the controller to realize the adjustment of the valve, which can make it control better.
通过模糊推理实现参数自调整，以使控制器能够适应不同对象和对象的不同状态。
The parameter self-tuning realized by fuzzy inference can make the controller adapt to different control objects and various states.
该控制器由两部分组成，一部分是常规PID控制器，另一部分是在线模糊推理机构。
The controller contains two parts, one is a conventional PID controller and another is an on-line fuzzy inference mechanism.
利用模糊控制器的模糊推理能力来实现PID控制器参数在线调整，以达到优化控制的目的。
By using ability of fuzzy reasoning, realize at-line adjust to PID controller parameter, to achieve optimize control.
应用模糊控制的逻辑推理性能，借助神经网络的学习能力，提出了一种模糊神经网络预测控制模型。
A fuzzy neural network prediction control model is stated by using the logic inference performance of fuzzy control and the learning ability of neural network.
模糊控制技术能利用控制规则，模拟人脑的推理过程，通过对输入量模糊化和综合推理，可以弱化数据不准确对系统的影响。
Fuzzy control technologies that apply control rules to simulating the inference process of man's brain can diminish the affect on the system by data inaccuracy.
针对预测函数控制中模型失配的影响，提出了用模糊推理对控制量进行补偿的新型预测函数控制。
A solution as compensating the controlled quantity by fuzzy inference is put forward in this paper to the problem of model mismatch caused by the predictive function control.
仿真实验结果表明，具有自适应神经网络的模糊推理系统控制的异步电机矢量控制系统不仅动态和稳态性能都得到提高，而且具有较强的鲁棒性。
Simulation results show that the induction motor vector control system with adaptive neuro-fuzzy inference system can improve the static and dynamic performance of the motor and has good robust.
为了提高机载光电跟踪伺服控制系统的控制性能，提出了一种基于模糊推理的变论域自适应控制算法。
In order to improve the control performance of airborne electro-optical pointing and tracking systems, a variable domain control system based on fuzzy inference, is presented.
应用单层神经网络可以学习多变量模糊控制规则中的未知参数．还可由它来实现多变量模糊推理过程。
The parameters of me fuzzy control rules of me controller can be learned by the learning slgorithm of the neural netowrk. and the inference process can be realized by the network.
提出一种新型的过热汽温控制方案，主控制器基于自适应神经网络模糊推理系统(ANFIS)进行设计。
A new superheated steam temperature control system design scheme is proposed, the main controller design is based on Adaptive Network-based Fuzzy Inference system (ANFIS).
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.
本文应用模糊逻辑理论，进行模糊推理计算，设计了一类温度控制器，并进行了大量实验，控温较为满意。
The paper has designed a temperature controller by applying fuzzy logical theory and doing fuzzy deductive calculation.
在该系统里，通过对机器人的行走装置进行模型化，建立了对象的模糊知识库，并根据自适应模糊控制的目标设计了推理机。
In the system the fuzzy knowledge bases of the object are established by modelling walking device of the robot, and the reasoning engine is designed according to fuzzy-control aim.
模糊控制是以模糊集合、模糊语言变量和模糊逻辑推理为基础的计算机数字控制技术。
Fuzzy control is a kind of computer digital control technique, which is based on the fuzzy sets, fuzzy language variable and fuzzy logic reasoning.
利用神经网络实现模糊推理，运用了一种模糊高斯基函数神经网络，并用于两关节机器人的轨迹跟踪控制。
The fuzzy inference is realized by neural network, a fuzzy Gauss function neural network is used for two-joint robot tracking control.
基于这种模糊控制关系和模糊推理规则，得到了被测软件通过测试的标准值，使测试通过的判定得以量化；
The standard value of the tested software to pass the test was then obtained from the fuzzy control relation and fuzzy inference rules, thus quantifying the judgment for software to pass the test.
针对目前制导炸弹命中精度低的问题，提出一种基于自适应神经模糊推理系统(ANFIS)的制导炸弹智能控制系统。
Aiming at the problem of guided bombs in low precision, this paper presents a kind of intelligence control system of guided bomb based on Adaptive Neuro-Fuzzy Inference system (ANFIS).
选取了控制器的输入、输出变量，构建了有25条规则的模糊推理器。
The input and output variables of control unit are selected and a fuzzy inference unit with 25 rules is constructed.
选取了控制器的输入、输出变量，构建了有25条规则的模糊推理器。
The input and output variables of control unit are selected and a fuzzy inference unit with 25 rules is constructed.
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