The nonlinear plant is approximated by a Takagi-Sugeno fuzzy linear model using local linearization method.
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 results obtained by using Takagi-Sugeno fuzzy system were better than those by commonly used BP-networks.
结果表明，用高木-关野模糊系统得到的结果比通常用的BP网络要好。
With a proper network training parameter, 100% correctness can be obtained by using Takagi-Sugeno fuzzy system.
选用适当的网络训练参数，正确率可达到100%。
In this dissertation, the problem of memory non-fragile control for a class of Takagi-Sugeno (T-S) fuzzy systems is studied.
本文从理论上研究了模糊系统的有记忆非易碎控制。
An approach for designing and optimizing Takagi-Sugeno type fuzzy logic controller is proposed in this paper, which is based on experience data.
本文提出了一种基于经验数据的T - S型模糊控制器设计与优化方法，并在倒立摆上进行了验证。
Combining fuzzy Takagi-Sugeno (T-S) model with adaptive fuzzy logic systems, we present a tracking control scheme for a class of complex 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 fuzzy Takagi-Sugeno (T-S) model with adaptive fuzzy logic systems, we present a tracking control scheme for a class of complex nonlinear systems.
针对一类复杂非线性系统，把模糊t - S模型和自适应模糊逻辑系统结合起来，提出了一种跟踪控制方案。
Combining fuzzy Takagi-Sugeno (T-S) model with adaptive fuzzy logic systems, we present a tracking control scheme for a class of complex 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。
Unlike other traditional design method of ship dynamic positioning fuzzy controller. This paper use Tagaki-Sugeno fuzzy logic system to design the fuzzy controller.
不同于其他动力定位船舶模糊控制器设计，本文采用基于高木—关野模糊逻辑系统的方法设计模糊控制器。
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.
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。
The prediction model has very strong self-adaptability because of using adaptive fuzzy neural network based on Sugeno-Tanaka fuzzy model, and the forecast result is also satisfactory.
由于预测中使用了一种基于高木-关野模糊模型的自适应模糊神经网络，从而使预测模型具有很强的自适应能力，预测结果也比较令人满意。
For the inverted pendulum system with multi-variable and nonlinear characteristic, a double closed-loop cascade fuzzy control approach was put forward based on Takagi-Sugeno fuzzy model.
在对火电厂过热汽温控制对象特点分析基础上，保留串级控制抗内扰的性能，结合模糊控制动态特性好的特点，提出了一种复合模糊串级控制设计。
The problem of fuzzy optimal control for nonlinear time-delay system was considered based on the framework2 of T-S( Takagi-Sugeno) fuzzy model and parallel distributed compensation(PDC) controller.
基于T S模糊模型和平行分布补偿器（PDC） ，讨论了非线性时滞系统的模糊最优问题。
The problem of fuzzy optimal control for nonlinear time-delay system was considered based on the framework2 of T-S( Takagi-Sugeno) fuzzy model and parallel distributed compensation(PDC) controller.
基于T S模糊模型和平行分布补偿器（PDC） ，讨论了非线性时滞系统的模糊最优问题。
应用推荐