该文在延迟系统逆动力学过程定性分析的基础上，对传统模糊控制器加以改造，提出一种新的适合于迟延系统的控制方法。
Based on the qualitative analysis to inverse dynamics of delay system, through modifying conventional fuzzy controller, a new control method which is fit for delay system is presented.
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.
仿真研究表明，SVM具有优良的逆模型辨识能力，基于模糊控制补偿的支持向量机逆控制系统的动态性能好、跟踪精度高、鲁棒稳定性强。
Simulations demonstrate that SVM has good nonlinear approximation capability for inverse model, and the proposed control system has good dynamic and static performances as well as good robustness.
论述了综合运用非线性动态逆、自适应模糊系统和滑模控制的优点进行飞行控制律设计的方法。
The design of the flight controller that exploits the advantages of the nonlinear dynamic inversion, adaptive fuzzy system and slide model control is discussed.
网络的训练利用改进的BP算法，将因子模糊化快速进行。样本点数据则由利用动态逆控制所得到的结果来提供。
The networks are trained by the fast BP algorithm via fuzzy variables decision, and training samples are provided by the dynamic inversion control results.
比较电压偏差及其变化率，查询模糊控制表，调节逆变脉宽，可实现电压及电流的理想控制。
According as compare of voltage deviation and its variable ratio, optimal control of voltage and current is realized with querying fuzzy control sheet and adjusting adverse variable pulse width.
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.
介绍了模糊控制和自适应逆控制在微位移系统控制中的应用。
Fuzzy control and adaptive inverse control using in the micro-positioning system are introduced.
逆变系统采用带前馈校正的变比例变积分系数的模糊控制器，提高了系统的动态响应指标；
The inverter system adopts digital fuzzy controller with feed forward correction and which proportion coefficient and integral coefficient is changeable, so dynamic response is improved.
系统逆动力学模糊规则模型，是一类可以直接用于模糊控制器设计的关于对象运动规律的数学模型。
Inverse dynamics fuzzy rules model is the mathematical model about object movement disciplinarian which can be used for fuzzy controller design directly.
对一般非线性系统，推导了一种综合运用非线性动态逆、自适应模糊逻辑系统和滑动模态控制进行控制律设计的方法。
For general nonlinear system, a control law design method which integrated the nonlinear dynamic inverse theory, adaptive fuzzy system and slide model control is developed.
本文提出一种基于T -S模型的变结构模糊神经网络直接逆模型控制器，并将其应用于移动机器人的运动控制中。
A direct inverse model controller of fuzzy neural network with changeable structure based on t s inference is presented in this paper and it is used to the motion control of mobile robot.
首先使用动态逆方法求得系统的逆，使系统反馈线性化，然后，用具有在线规则自调整的模糊控制方法来确保系统的最终特性。
First, the aircraft dynamics is inverted to linearize the system dynamics. System performance is guaranteed by using fuzzy control method of. on -line self-tuning rules.
提出了一种飞机大仰角飞行的动态逆模糊集成控制方法。
This paper presents a dynamic inversion control method for high Angle - of - attack flight.
推导了逆变点焊过程控制模型，并构建了逆变点焊模糊神经网络恒电流控制系统结构。
A controlling model of inverter spot-welding process and a fuzzy neural network configuration about inverter spot-welding with constant current control were built in this paper.
介绍了模糊控制逆变弧焊电源的基本工作原理，控制系统组成以及硬件实现方案。
The fuzzy controller is applied to the inverter welding power source. The system is introduced briefly, including run principle, form of control system and hardware design.
本文针对矢量控制交流伺服系统，提出了一种模糊小脑模型神经网络直接逆控制的方案，给出了较详细的原理分析及实现过程。
A direct inverse control scheme of FCMAC neural network is presented for vector control AC servo system. The principle analysis and the design realizing process of the system are given in detail.
本文针对矢量控制交流伺服系统，提出了一种模糊小脑模型神经网络直接逆控制的方案，给出了较详细的原理分析及实现过程。
A direct inverse control scheme of FCMAC neural network is presented for vector control AC servo system. The principle analysis and the design realizing process of the system are given in detail.
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