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。
A novel direct adaptive fuzzy neural networks (FNNs) controller for a class of uncertain nonlinear chaotic system is presented.
基于该模型，并结合非线性反馈理论，一个模糊的控制器，控制器，然后设计。
Based on the model and in conjunction with nonlinear feedback theory, a fuzzy-PID ramp controller is then designed.
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。
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.
第四章：研究了一类非线性系统的间接自适应模糊滑模控制方法。
In chapter four, indirect fuzzy sliding mode control for a class of nonlinear systems is discussed.
针对一类非线性系统，把模糊t - S模型和自适应模糊逻辑系统这两种模糊逻辑方式结合起来，提出了一种自适应控制方案。
Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an adaptive control scheme for a class of nonlinear systems.
针对其存在非线性、参数时变和大延迟等难以控制的特性，提出基于T - S模糊模型的预测函数控制新方法。
As the nonlinearity, time-varying parameters and large lag make the control difficult, a predictive functional control method based on T-S (Takagi-Sugeno) fuzzy model is presented.
研究非线性系统的稳定控制问题，采用模糊动态模型方法，并将全局模糊系统模型表示成不确定系统形式。
The stable problem of nonlinear system was studied. Fuzzy dynamical models were used, and the global fuzzy models were translated into the system with uncertainties.
针对具有严重非线性的受控对象，提出了一种模糊-神经元控制方法。
In accordance with the seriously nonlinear controlled objects, a fuzzy-neuron control scheme is proposed.
本文针对非线性振动系统提出了一种模糊自适应滑模控制方案。
In this paper, an adaptive fuzzy sliding mode control scheme is proposed for nonlinear vibration systems.
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。
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.
这些研究成果为模糊控制在非线性系统小的应用提供了有利的理论支持。
These study results support the application of fuzzy control to nonlinear systems in theory.
本文以二自由度平面机械手为例，尝试用线性系统理论和模糊控制理论解决非线性系统问题。
This paper attempts to solve the problem of nonlinear systems control using linear systems theory and fuzzy control theory for example of a planar manipulator with two degrees of freedom.
针对一类不确定非线性系统提出了一种自适应模糊控制方法。
An adaptive fuzzy slide tracing control method is presented for a class of unknown nonlinear systems.
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.
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.
对非线性、时变性的不确定系统，模糊控制是一种较有效的方法。
Fuzzy control is a very effective method for the nonlinear and unstable system that can not be certain.
讨论了一类不确定非线性系统的间接自适应模糊控制问题。
The problem of indirect adaptive fuzzy control for a class of uncertain nonlinear systems is discussed in this paper.
提出了一种新的基于T_S模糊模型的非线性预测控制策略。
A nonlinear model predictive control (NMPC) strategy based on T_S fuzzy model is proposed.
基于数据融合的思想，提出一种非线性系统的自适应神经网络模糊控制器的设计方法。
Based on data fusion method, an adaptive neuro-fuzzy controller of nonlinear systems is presented.
该控制策略充分利用了模糊逻辑对非线性的逼近性和神经控制自适应的特点。
The strategy made full use of the nonlinear approximation of fuzzy logic and the self-adaptability of neural control.
针对一类仿射非线性系统，研究其模糊建模与控制问题。
Fuzzy modeling and control for a class of affine nonlinear systems is studied.
针对一类开环稳定的非线性系统，提出了一种基于模糊神经网络的非线性内模控制方案。
An internal model control strategy is proposed to a class of open loop stable nonlinear systems described by fuzzy neural networks.
针对采煤机控制存在的时变、非线性、不确定等特点，将模糊控制策略应用到电牵引采煤机调速系统中。
Fuzzy control was applied to speed regulation system of electrical haulage shearer directed at the characteristics of time-varying, nonlinear and uncertainty.
由于模糊系统可以作为任何非线性系统的万能逼近器，所以本文假定模糊控制可以应用到项目进度管理系统中。
This thesis makes the hypothesis that fuzzy control can also be applied to project scheduling management on the basis of fuzzy system being any nonlinear system's omnipotent simulator.
在非线性变结构控制理论与模糊控制理论的基础上，将二者结合起来进行SVC模糊变结构控制器(FVSC)的设计。
A fuzzy variable structure controller (FVSC) of SVC is designed on the base of the combination of the nonlinear variable structure control theory and fuzzy control theory.
建立了T -S模糊控制模型，对于具有非线性特性的液压执行机构，控制效果良好。
T s fuzzy control model is established. It has gained favorable control effect for the hydraulic pressure set with nonlinear characteristic.
首先，论文完成了一大类非线性离散系统模糊控制器和观测器的设计。
First, based on fuzzy dynamic state space model, the fuzzy controller and observer are designed for the nonlinear discrete systems.
对具有非线性模糊输入集的模糊控制器进行了输入输出结构的研究。
In this paper, we give a study of the input-output structures of fuzzy controllers with nonlinear input fuzzy sets.
对具有非线性模糊输入集的模糊控制器进行了输入输出结构的研究。
In this paper, we give a study of the input-output structures of fuzzy controllers with nonlinear input fuzzy sets.
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