Using T-S fuzzy model as an approximation, the nonlinear chaotic system is fuzzy and translated into local linear model.
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。
A method of sliding mode control based on fuzzy logic, for a class of linear uncertain system shown in phase coordinate, is presented It if derived from the principle of sliding mode control.
本文针对一类相坐标表示的线性不确定系统，根据滑模控制原理，提出一种基于模糊逻辑的滑模控制方法。
By approximating the nonlinear chaotic system with a t s fuzzy model, the nonlinear chaotic system is fuzzed into a local linear model.
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。
Nonlinear system is described based on T-S fuzzy dynamical model, and the nonlinear system is translated into local linear model by fuzzy method.
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。
The nonlinear chaotic system has been fuzzy into local linear model.
将非线性混沌系统模糊化为局部线性模型。
Then, an algorithm based on iterative linear matrix inequality (ILMI) was proposed to compute the static output feedback gain of continuous uncertain T-S closed-loop fuzzy system.
为了计算连续不确定T - S闭环模糊系统的静态输出反馈增益，提出了基于迭代线性矩阵不等式的算法。
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.
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。
Using the step response behavior of inertia process and the superposition theorem of linear system, this paper puts forward a fuzzy predictive model of dead-time processes.
利用惯性过程的阶跃响应特性和线性系统中的叠加原理，提出了纯滞后过程的模糊预估模型。
The fuzzy controller ACTS as an adaptive gain variable linear optimal controller, and it can satisfy the multi objective control requirements of the TCSC system.
该模糊控制器相当于自适应变增益的线性最优控制器，能满足系统多目标控制的要求。
Using T_S model as an approximation for nonlinear system, the nonlinear system has been fuzzy into local linear model.
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 fuzzy model as an approximation for nonlinear chaotic system, the nonlinear chaotic system has been fuzzy into local linear model.
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。
The control scheme adopts a group of fuzzy rule sets as internal model of the nonlinear plant, where a fuzzy rule set represents a local linear system.
该算法以一组模糊规则作为非线性对象内部模型，一条模糊规则表示一个局部线性系统；
Discrete chaotic system is described based on T-S fuzzy models, and the system is exchanged into local linear model with fuzzy method.
采用T - S模糊模型描述离散混沌系统，将离散混沌系统模糊化为局部线性模型。
A new kind of fuzzy time series model is presented by using a fuzzy system of linear equations with fuzzy coefficients and real variables.
利用模糊系数实变量的线性方程组建立了一种新的模糊随机时间序列模型。
Then, a new sufficient condition for the stability of open-loop system is proposed based on linear matrix inequality (LMI); and a fuzzy controller is designed via non-quadratic PDC control law.
然后，基于一系列线性矩阵不等式，得到了开环系统稳定的充分条件，进而又基于非二次PD C控制律，设计出了模糊控制器。
The test results showed that fuzzy controller had a good performances and feasibility which applied to a time-varying non-linear large-inertial system of greenhouse environmental parameters.
试验结果表明：这种模糊控制器对于时变、非线性、大惯量的温室系统是可行的，并且在温室控制中取得了很好的控制效果。
Moreover, a fuzzy inference mechanism was developed to form the core of fuzzy expert system frame, which could be realized through linear fuzzy matrix algebra.
此外，还开发了用以形成模糊专家系统框架核心的推理机制，并通过线性模糊矩阵代数运算予以实现。
Aimed at the characteristics of electro-hydraulic proportional pressure control system, such as, non-linear, uncertainty dynamic, and so on, a grey prediction fuzzy control algorithm was proposed.
针对电液比例压力控制系统的特点，即非线性、动态不确定性等，提出了一种灰色预测模糊控制算法。
The computer simulation results indicate that the fuzzy PID control system is more robust than the comparable linear PID control system in control of the tissue temperature.
计算机仿真结果表明模糊控制系统在组织温度控制中比对应的线性PID控制系统鲁棒。
In order to effectively control the piston displacement of a linear refrigerator compressor, a new fuzzy control system based on self-adjusting was proposed.
为了有效地控制直线冰箱压缩机的活塞位移，提出了一种以活塞上死点位移为控制目标的可自调整规则的模糊控制系统。
According to linear request of the entire bridge main arch rib, use fuzzy theory and the ANFIS inference system forecast that various stages raise in advance.
根据全桥主拱肋线形要求，利用模糊理论及ANFIS推理系统预测各节段的预抬高值。
Since the conclusion part is linear, the T_S fuzzy model can be treated as a linear time_varying system, the nonlinear program in NMPC turns into a linear quadratic problem that can be easily solved.
由于T_S模糊模型每条规则的结论部分是一个线性模型，因此整个模糊模型可以看作一个线性时变系统，从而将模糊预测控制器中的非线性优化问题转化为一个线性二次寻优问题，以方便求解。
Using membership function of fuzzy set, fuzzy condition sentence and fuzzy control rules, the fuzzy controller completes the control of the first-order linear delay system.
利用模糊集合的隶属度函数，模糊条件句和模糊控制规则，实现对一阶线性时滞系统的控制。
This paper mainly focused on the problem of fuzzy neural network control of non-linear system and got into further study and then a self-adaptation control system of fuzzy neural network was designed.
本文围绕非线性系统的模糊神经网络控制问题，展开研究，设计了一个自适应模糊神经网络控制系统。
This article focuses on the fuzzy identification of the non-linear system to discuss.
本文紧紧围绕着非线性系统的模糊建模和辨识方法展开讨论和研究。
Based on the input-output data of the system, a new method to create fuzzy rules by dividing the input space was proposed and ap plied to modelling of the non-linear drying process.
基于系统的输入-输出数据，提出一种通过划分输入空间提取模糊规则的方法，并将该方法应用于建模非线性程度较高的干燥过程。
Linear control rules are used to control the steam boiler system. The fuzzy logic controller has been tested in the real plant and results obtained...
运用线性模糊控制规则对锅炉对象的主汽压进行了仿真研究和实时控制，最后给出了模糊控制同传统方法的比较结果。
Linear control rules are used to control the steam boiler system. The fuzzy logic controller has been tested in the real plant and results obtained...
运用线性模糊控制规则对锅炉对象的主汽压进行了仿真研究和实时控制，最后给出了模糊控制同传统方法的比较结果。
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