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.
本文论述了模糊子集的云模型表示、基于云模型控制规则的不确定性推理，并设计了一种二维云模型控制器。
This paper presents the cloud model of fuzzy sets, uncertainty reasoning of control rules based on cloud model, and a two-dimension cloud model controller.
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.
提出了定性变量及定量变量的新概念，并将二者的综合集成推理应用到单输入模糊控制器的设计之中。
The quantitative and qualitative variables are introduced in this paper, and the synthetically combined reasoning of them is applied in the design of single-input fuzzy controller.
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.
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).
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.
提出了一种基于模糊推理与遗传算法的最优PID控制器的设计方法。
An optimal PID controller is proposed based on fuzzy inference and genetic algorithms, which is called the optimal fuzzy GA PID controller.
提出基于自适应网络模糊推理系统(ANFIS)的神经模糊控制器作为船舶减摇鳍系统的控制装置。
In this paper, we present an Adaptive Network-based fuzzy Inference system (ANFIS), based on a neuro-fuzzy controller, as a possible control mechanism for a ship stabilizing fin system.
对火灾的判断主要采用模糊推理的数据融合算法，火灾数据的处理和算法的实现都由控制器来完成。
The judgement to fire mainly adopts data fusion of fuzzy reasoning data fusion. Fire data and realization of data fusion are executed by controller.
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.
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.
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 controller is derived from the simplification and improvement of the typical inferential controller, and in which fuzzy logic and inference are used to adjust its filter time constant adaptively.
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.
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.
给出了模糊滑模控制器的构成，以及模糊化、模糊规则与推理、反模糊化处理的方法。
The composition of the fuzzy controller and the control method of the fuzzy, fuzzy rule and reasoning, and back fuzzy were given.
本文针对模糊控制器输入输出是确定量的特点，提出一类新的简单的推理决策算法。
Noting that the inputs and outputs of the Fuzzy Controller are non- fuzzy, this paper presents a new and simple class of reasoning and decision algorithms.
以某转台模型为例进行了仿真，仿真结果表明了该推理方法的有效性及模糊pid控制器在转台系统中的有效应用。
Simulation results for a flight motion simulator system show the effectiveness of the reasoning method and the fuzzy-PID controlling approach on table system.
PID参数自适应模糊控制器将模糊逻辑推理引入PID参数的在线自调整，是目前一种较为先进的控制器。
Fuzzy controller for parameters adaptation of PID controller is a more advanced controller in industrial control at present, because it employ fuzzy logic reference to adjust PID parameters on line.
针对交流伺服系统的位置控制，设计出一种新型滑模控制器，以前馈信号作为平均控制，采用模糊推理来调节开关控制的幅度。
A new slide mode controller is designed for AC servo system. The feed forward signal is used as average control, and fuzzy inference is used to regulate the magnitude of on-off control.
提出了一种新的模糊推理机和设计方法，并在线性最优励磁控制器的基础上，实现了发电机励磁的快速模糊自适应控制。
The paper proposes a new way to design a fuzzy inference machine. On the basis of a linear optimal excitation controller, the fast fuzzy adaptive excitation control of the generator is realized.
在得到了脸部信息的状态值后，进行驾驶员疲劳程度的综合评判，制作模糊控制器定义输入输出以及模糊推理规则。
Conduct a comprehensive evaluation driver fatigue by making the definition of input and output of fuzzy controller and fuzzy inference rules.
文中详细阐述了模糊自整定PID控制器的设计过程，给出了模糊控制器的各项参数、模糊控制规则以及推理合成过程。
In this paper, the process of designing the fuzzy self-tuning PID controller is described in detail, and the parameters, the fuzzy rules and the reasoning synthesis of the fuzzy controller are given.
在此基础上，又提出基于模糊状态描述的新型不确定因果归纳自动推理机制，并讨论其在智能控制器研制中的应用。
On this basis, the new logic indeterminate causal inductive automatic reasoning mechanism which is based on fuzzy state describing is brought forward. At the end of this paper its app…
本文介绍了一种利用神经网络进行推理的模糊控制器。网络的输入和输出均为模糊集。
This paper presents a kind of fuzzy Controller using Neural Network for fuzzy inference the inputs and the outputs are fuzzy Set.
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.
提出了一种新的最优模糊pid控制器，它由两部分组成，即在线模糊推理机构和带有不完全微分的常规pid控制器。
A new kind of optimal fuzzy PID controller is proposed, which is composed of an on_line fuzzy inference mechanism and a conventional PID controller with incomplete derivation.
该控制器把免疫控制器与常规PID控制和模糊推理结合构成模糊免疫 PID 控制器，以改善控制性能。
This fuzzy-immune PID controller combines conventional PID control and fuzzy inference to make up fuzzy-immune PID controller is used to improve the control performance.
该控制器把免疫控制器与常规PID控制和模糊推理结合构成模糊免疫 PID 控制器，以改善控制性能。
This fuzzy-immune PID controller combines conventional PID control and fuzzy inference to make up fuzzy-immune PID controller is used to improve the control performance.
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