研究了一类连续模糊动态系统的稳定性，证明了该类系统稳定的充分条件。
The stability of a class of continuous fuzzy dynamic systems is analyzed, and the sufficient condition is proved.
并进行了仿真研究，结果表明，基于稳定性而设计的模糊控制系统不仅具有良好的动态及稳态的性能，而且具有很强的抗扰能力。
The simulation results show that fuzzy control systems which are designed based on the stability have not only good dynamic and steady state feature but also strong rejection ability to disturbances.
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.
所设计的自组织模糊控制器，其模糊控制规则用解析形式进行描述，并通过修正因子的在线调整而改变，适应了系统动态响应的过程。
As for the fuzzy controller, the rule is depicted with analytic form and changed through self-regulating correction factor on line, so that it ADAPTS the system dynamic process.
通过优化模糊pi控制器的量化因子和比例因子，从而优化隶属函数，使控制系统具有很好的稳态和动态性能。
Though optimizing quantification factor and proportionality factor of Fuzzy-PI controller, optimizing the membership function, then make the system response has good dynamic and steady performance.
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.
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.
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.
为改善模糊电力系统稳定器(FPSS)的动态性能，提出了基于滑模控制的FPSS的控制策略。
To improve the dynamic performance of fuzzy power system stabilizer (FPSS), a control strategy for FPSS based on slide mode control is put forward.
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.
采用模糊动态模型逼近非线性混沌系统，将非线性混沌系统模糊化为局部线性模型。
By approximating the nonlinear chaotic system with a t s fuzzy model, the nonlinear chaotic system is fuzzed into a local linear model.
近年来，各类模糊系统已被证明是万能函数逼近器，它们能实现任意的非线性连续控制规律和动态模型。
In recent years, fuzzy systems have been proved to be universal function approximators, which means they can realize any nonlinear continuous control laws and dynamic models.
在分析自适应模糊控制及PID参数变化对系统性能影响的基础上，提出在动态过程中对PID参数进行整定。
Based on the analysis of self-adaptive fuzzy control and the influence of PID control parameter changes, the rules of fuzzy adjustment of PID parameters in a dynamic process are put forward.
在分析自适应模糊控制及PID参数变化对系统性能影响的基础上，提出在动态过程中对PID参数进行整定。
Based on the analysis of self-adaptive fuzzy control and the influence of PID control parameter changes, the rules of fuzzy adjustment of PID parameters in a dynamic process is put forward.
研究不确定动态模糊系统的稳定性问题。
The stabilization of uncertain dynamical fuzzy systems is studied.
在对模糊定性仿真算法改进的基础上，提出了一类信息不完整动态系统的实时半定量故障预报方法。
Based on improvement of fuzzy qualitative simulation algorithm, a new semi-quantitative and real-time fault prediction method of a class of dynamic system with incomplete information is proposed.
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.
最后给出了一种实用的模糊控制算法进行振动系统的动态阻抗匹配。
Finally, it presents an applied fuzzy control algorithm, which can be used as a dynamic impedance matching approach for the power ultrasonic vibration system.
基于机器微视觉的MEMS动态测试系统，利用模糊图像合成技术对MEMS的平面微运动特性参数进行提取和分析。
Based on machine micro-vision dynamic testing system for MEMS, the technique of blur image synthesis is presented to exact and analyze in-plane motion characteristic of MEMS devices.
第一阶段，将模糊分类系统的前件和输入变量编码为一个个体，实现了输入变量论域的动态划分和输入变量选择。
In the first step, the antecedents of fuzzy classification system and input variables are coded into a binary string and treated as an individual in genetic algorithm.
采用T - S模型，由后件网络动态调整模糊规则，提高控制系统的适应性。
Moreover, T-S model is used to adjust the dynamic fuzzy rules by the latter neural network, which can improve the adaptability of the control system.
针对强非线性、多变量耦合系统，提出了一种基于动态t - S模糊模型的约束内模控制策略。
Aiming at the strong nonlinear multiple variable coupling system, a new multivariable internal model control based on T-S fuzzy model was proposed.
对一类非线性多变量未知动态系统，提出了一种模糊自适应控制策略。
A fuzzy adaptive tracking control scheme for a class of unknown multivariable nonlinear systems is presented.
水资源系统模糊优化多维动态规划模型是水资源系统优化研究中的一个重要课题。
It is a key problem to study the fuzzy optimizing multi-dimensional dynamic programming model for water resources systems.
采用模糊状态、模糊状态转移以及模糊事件描述了机械系统状态的模糊动态过程。
The fuzzy dynamic process in the machinery system was described by using fuzzy state, fuzzy state transfer, and fuzzy events.
结果表明，由简单的一阶动态模糊控制器构成的控制系统，性能明显优于传统的静态模糊控制器构成的相应系统。
The results show that the performance of the control systems with the first-order dynamic fuzzy controller is much better than that with the traditional static fuzzy controller.
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.
仿真结果表明，较之常规模糊控制器，采用参数自整定的模糊控制器能使系统获得更快的动态响应速度和更高的定位精度。
Simulation results show that the fuzzy controller with self-adjusting parameters makes the system have rapid dynamic response speed and high positioning accuracy.
仿真结果表明，较之常规模糊控制器，采用参数自整定的模糊控制器能使系统获得更快的动态响应速度和更高的定位精度。
Simulation results show that the fuzzy controller with self-adjusting parameters makes the system have rapid dynamic response speed and high positioning accuracy.
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