The controller output error method (COEM) is used to design the adaptive fuzzy controller.
输出误差法是飞行器气动参数辨识最广泛采用的一种方法。
Aiming at the position of the lance in water station of steel works, a self-adaptive fuzzy controller is designed.
针对炼钢厂水站系统中的氧枪枪位控制，设计了一种自适应模糊控制器。
This paper presents a design method of self-adaptive fuzzy controller by the analysis to the basic fuzzy controller.
本文通过对基本模糊控制器的分析，给出了一种自适应模糊控制器的设计方法。
An adaptive fuzzy controller is developed for continuous time nonlinear systems with high order by using fuzzy dynamic model.
采用模糊动态模型，对连续时间的高阶非线性系统进行了模糊控制。
Based on the nonlinear system of TCSC (Thyristor Controlled Series Capacitor), a direct self-adaptive fuzzy controller is designed.
针对可控串补非线性系统，设计了一种直接自适应模糊控制器。
A new design scheme of adaptive fuzzy controller is proposed based on the model reference adaptive fuzzy control (MRAFC) and Lyapunov s second method.
基于模型参考自适应模糊控制和李亚普诺夫第二方法，提出了一种自适应模糊控制器设计的新方案。
An adaptive fuzzy controller is presented for a class of complicated system in which the controlled variables cannot be continuously measured on line.
针对一类被控变量不能直接连续测量的复杂系统，提出一种自适应模糊控制方法。
A fuzzy model of 3-Dimensional PID parameter regulating rules is established, which can be used in self-adaptive fuzzy controller through simulating tests.
在对模糊规则的仿真试验和调整的基础上，得到了实际用于模糊控制器软件设计的控制规则（第六章）。
Combining fuzzy control with expert system, author presents an expert adaptive fuzzy controller and its application for a 500mw power plant boiler water level control.
本文将模糊控制与专家系统结合起来，提出了专家自适应模糊控制器，并将其应用于500MW机组仿真机锅炉水位控制中。
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.
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。
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.
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。
The paper gives a indirect adaptive fuzzy controller . We obtain the model of the plant by fuzzy system identification online, then design the fuzzy controller online according to this model.
本文给出了一种间接自适应模糊控制器，它通过在线模糊系统辨识得到控制对象的模型，然后根据所得模型在线地设计模糊控制器。
Adaptive fuzzy controller was combined with PID controller to compose parallel control system, which was aimed at reducing static error and suppressing dynamic disturbance of the whole system.
其中直接自适应模糊控制器还与PID控制器一起组成并行控制系统来抑制系统静态误差和动态干扰。
The fuzzy adaptive controller designed based on this method can guarantees that the closed-loop system is globally stable and the tracking error converges to a neighborhood of zero.
在此基础上设计的模糊自适应控制器能够保证整个闭环系统稳定且跟踪误差收敛到零的一个邻域内。
Based on Fuzzy Neural Network, the noise canceling problem of the nonlinear system was studied. A type of nonlinear adaptive noise controller was proposed.
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。
The parameter of the controller can be auto-adjusted by the error, error change and the integral value. It makes the fuzzy controller have the ability of self-adaptive.
该控制器能够根据系统的误差、误差变化及误差积分值自动调整控制器的控制参数，使模糊控制器具有自适应的能力。
A novel direct adaptive fuzzy neural networks (FNNs) controller for a class of uncertain nonlinear chaotic system is presented.
提出利用直接自适应模糊神经网络控制一类不确定非线性混沌系统新方法。
Abstract: Aiming at the nonlinear and time-varying characteristics of freeway traffic system, a fuzzy self-adaptive PID controller is designed and applied to freeway ramp metering in this paper.
摘要：针对高速公路交通系统的非线性、时变特性，设计了一种模糊自适应控制器，并将其应用于高速公路匝道控制系统。
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.
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。
To the widely existed characteristics of time-delay, non-linear and timevarying of parameters in the industry process, an adaptive neuron-fuzzy PID controller based on optimal prediction is presented.
针对工业过程中普遍存在的时滞、非线性、对象参数时变等特性，提出了一种基于最优预测的神经元模糊自整定PID控制算法。
Based on the approximation capability of fuzzy logic systems, a design method of an adaptive fuzzy logic controller is given for a class of nonlinear discrete time systems.
针对一类非线性离散时间系统，根据模糊逻辑系统的逼近性质，给出了一种自适应模糊逻辑控制器的设计方法。
According to actual conditions, design a fuzzy adaptive PID controller to control the openings of the electro-hydraulic proportional valve port, implementing a safe and smooth braking.
依据实际工况，设计了一种模糊自适应PID控制器来控制电液比例调速阀阀口的开口量，实现系统的安全、平稳制动。
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.
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。
The controller was composed of optimum LQR, fuzzy controller and sliding mode adaptive regulator.
控制器由最优l QR、模糊控制器和滑模自适应调节器组成。
The input fuzzy set, fuzzy rule and adaptive rule are discussed, and the wireless communication controller based on fuzzy set is designed.
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.
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。
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