同时，还将这种方法推广到双重模糊线性系统并辅以算例。
This method was also applied to solve the dual fuzzy linear systems which is linearly formed by fuzzy structured element with an example.
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.
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.
采用模糊动态模型逼近混沌非线性系统，将混沌非线性系统模糊化为局部线性模型。
Using T-S fuzzy model as an approximation, the nonlinear chaotic system is fuzzy and translated into local linear model.
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.
采用模糊动态模型逼近非线性系统，将非线性系统模糊化为局部线性模型。
Using model as an approximation for nonlinear system, the nonlinear system has been fuzzified into local linear model.
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.
将非线性系统用t - S模糊动态模型描述，并将全局模糊系统模型表示成不确定系统形式。
The nonlinear systems have been described into T-S fuzzy dynamical models, and the global fuzzy models have been translated into the system with uncertainties.
采用T - S模糊动态模型描述非线性系统，并将非线性系统模糊化为局部线性模型。
Nonlinear system is described based on T-S fuzzy dynamical model, and the nonlinear system is translated into local linear model by fuzzy method.
在被调整模糊系统基础上，提出了一种非线性系统在线估计参数的在线辨识算法。
Moreover, based on this modified fuzzy system, the paper presents an on line identifying algorithm with which the on line parameter estimation of nonlinear system is realized.
采用局部线性化方法，用T-S模糊线性模型逼近非线性系统。
The nonlinear plant is approximated by a Takagi-Sugeno fuzzy linear model using local linearization method.
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.
针对一类非线性系统，把模糊tS模型和自适应模糊逻辑系统两类模糊逻辑方式结合起来，提出了一种基于观测器的控制方案。
Combining both kinds of fuzzy logic forms including fuzzy t s model and adaptive fuzzy logic systems, this paper presents an observer based control scheme for a class of nonlinear systems.
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两种模糊逻辑方式结合起来，提出了一种基于观测器的跟踪控制方案。
Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an observer-based tracking control scheme for a class of nonlinear systems.
本文介绍了利用模糊控制技术对混合煤气加压机这种非线性系统进行恒压控制的方法。
This paper presents a method of keeping press of mixing gas pressure constant with the use of fuzzy 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.
针对一类不确定非线性系统提出一种新的模糊自适应控制方法。
A new adaptive fuzzy control method for a class of uncertain nonlinear systems is presented.
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.
根据模糊系统的逼近性质，非线性系统可以表示为线性参数化模型加上一建模误差项。
Based on the approximation property of fuzzy systems, a nonlinear system can be expressed as the form of linear parametric model and a modelling error term.
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.
针对多输入-多输出(MIMO)非线性系统基于模糊基函数向量提出了一种新的自适应控制方法。
In this paper, a novel adaptive control approach based on fuzzy basis function vector is presented for Multi input and Multi output (MIMO) nonlinear systems.
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.
采用T_S模糊动态模型逼近非线性系统，将非线性系统模糊化为局部线性模型。
Using T_S model as an approximation for nonlinear system, the nonlinear system has been fuzzy into local linear model.
基于模糊动态模型研究非线性系统的稳定控制问题，将全局模糊系统模型表示成不确定系统形式。
The stable problem of nonlinear systems is studied based on fuzzy dynamical model, and the global fuzzy model is translated into the system with uncertainties.
讨论了利用模糊方法实现非线性系统的建模方法。
Nonlinear system modeling using fuzzy method is discussed in this paper.
针对一类基于模糊T-S模型的输入受限非线性系统提出了鲁棒模型预测控制。
Robust model predictive control is proposed for a class of nonlinear systems with constraint inputs based on fuzzy T-S model.
该文提出了一种基于最差子空间分解聚类的非线性系统模糊辨识方法。
This paper proposed a fuzzy identification method for nonlinear systems which were based on decomposing clustering of the worst subspace.
首先，采用模糊T-S模型来对非线性系统建模，由线性矩阵不等式得到模糊模型的控制律。
The fuzzy T-S model is used to approximate the nonlinear systems, and the fuzzy control law of the fuzzy model is derived from the linear matrix inequality.
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.
作为现代控制领域中的一个重要分支，基于模糊建模的非线性系统的鲁棒自适应变结构控制技术近年来受到了国内外控制界的广泛重视。
As an important branch in the field of intelligent control, fuzzy model based robust adaptive sliding-mode control for nonlinear systems has received more and more attention in recent years.
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