仿真结果表明，该动态模型能够预测输出电压。响应曲线显示出自适应模糊控制算法能够较好控制燃料电池有功和无功功率的输出。
The response curves indicate that the adaptive fuzzy control is able to control the active output power and the reactive output power of the fuel cell.
基于模糊神经网络算法研究了非线性系统的噪声消除问题，设计了一类非线性自适应逆噪声消除控制器。
Based on Fuzzy Neural Network, the noise canceling problem of the nonlinear system was studied. A type of nonlinear adaptive noise controller was proposed.
模糊控制改进了自适应逆控制系统中LMS算法的性能，解决了恒定步长因子带来的收敛速度和失调量之间的矛盾。
Fuzzy control improves the performance of LMS algorithm and resolves the contradiction between convergence velocity and misadjustment which is brought by fixed step factor.
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.
针对焦炉温度的控制特点和难点，提出了模糊免疫自适应pid控制算法并对它进行了详细的分析设计。
According to the characteristics and difficulties of the coke oven control, a fuzzy immune adaptive PID control method is brought forward and designed in detail.
提出了将模糊波形分析应用于恶劣环境下的液位检测的方法，并给出了参数自适应控制的算法。
This paper proposes a method of measurement of liquid level in abominable condition using fuzzy wave-form analysis, then gives a algorithm of parameter self-adaptive control.
本义介绍了基于模糊算法的自适应温度控制器的工作原理。
The principle of an adaptive controller based on Fuzzy-PD is introduced.
基于该辨识模型，设计了一个自适应模糊神经电压控制器，其参数采用改进的BP算法进行在线修正。
Based on the identification model, an adaptive fuzzy neural networks voltage controller was designed. The parameters of the controller are regulated by adopting the novel BP algorithm.
本文提出了一种基于模糊控制技术的伺服控制系统，并设计了尺度变换比例因子自适应调节的模糊控制算法。
In this paper, a servo control system is designed based on fuzzy control technology, and then a fuzzy control algorithm with parameter adaptation is presented.
本文提出一种带有高斯模糊器的自适应模糊系统(GAF)，基于PID控制的成功经验数据，通过反向传播学习算法对其进行参数寻优。
This paper introduces a new adaptive fuzzy system with Gauss fuzzier (GAF), optimizing the parameter based on the data from PID by back-propagation algorithm.
在反馈学习算法的基础上，将模糊逻辑和神经网络自适应控制的结构结合在一起。
The neural network-based adaptive control and fuzzy logic are integrated based on feedback learning algorithm.
针对船舶航向控制中模型参数变化引起的不确定性问题，提出一种基于动态神经模糊模型(DNFM)的自适应控制算法。
A dynamic neural fuzzy model (DNFM) based adaptive control algorithm for ship course control was developed to overcome uncertainties arising from changes of model parameters.
热处理炉空气、燃料的控制均采用遗传算法优化的PI控制，炉体温度控制采用自适应的遗传模糊控制器。
Air and fuel controlling of this stove are realized by PI controller, and temperature controlling adopts self adaptive genetic fuzzy controller.
针对SRD具有显著的非线性，系统采用模糊自适应整定PID控制算法，并且讨论了其软、硬件的实现方法。
According to the problem resulted from the notable nonlinear of SRD, we adopt a fuzzy self-tuning PID arithmetic in the system, and discuss its realization of software and hardware.
提出一种基于工程状态的自适应模糊pid控制算法，仿真和实验表明，具有简单、控制品质优良等特点。
A new fuzzy PID control algorithm based on PID engineering state methods is proposed in this paper. Experimented and simulation results show that the algorithm proposed has good performances.
仿真结果表明该控制器的控制效果优于传统的PID控制算法和模糊自适应PID控制算法。
The simulation results showed that control effect of the controller was better than that of the conventional PID control arithmetic and the PID control arithmetic of fuzzy self adaptation.
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.
该算法将预测控制与多模型思想结合，通过模糊自适应加权算法计算权重，采用动态矩阵控制优化控制器参数。
The weights are calculated by fuzzy adaptive weight algorithm and the controllers are optimized by dynamic matrix control algorithm.
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。
Based on PRAMcomputing model, the parallel processing for adaptive control algorithm based on fuzzy internal model, which aimed at nonlinear system, is discussed.
采用一种新的自适应模糊pid算法，实现变速控制和落差补偿。
By using a new self-adaptive fuzzy PID algorithm, variable speed control and compensation on drop in elevation are implemented.
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.
介绍了模糊自适应PID控制器的基本原理，建立了TIG逆变电源外特性控制的模糊自适应pid算法。
In this paper, the basic principle of fuzzy adaptive PID controller is stated and a fuzzy adaptive PID algorithm based on static characteristics control in TIG welding power inverter is built up.
介绍了模糊自适应PID控制器的基本原理，建立了TIG逆变电源外特性控制的模糊自适应pid算法。
In this paper, the basic principle of fuzzy adaptive PID controller is stated and a fuzzy adaptive PID algorithm based on static characteristics control in TIG welding power inverter is built up.
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