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。
The strategy made full use of the nonlinear approximation of fuzzy logic and the self-adaptability of neural control.
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。
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。
So there has been a great deal of interest in applying model-free methods such as fuzzy systems for nonlinear function approximation.
因此依然有很多场合需要使用无模型方法—如用模糊系统进行非线性函数逼近等。
In this paper, we will study the nonlinear approximation of a kind of nonlinear T-S fuzzy system, and prove that when the fuzzy sets are Gaussian membership functions, it has universal approximation.
本文将对一类非线性t - S模糊系统的非线性逼近能力进行研究,证明这种模糊系统在输入模糊子集为高斯型隶属函数的情况下,具有通用逼近性。
Based on the approximation capability of fuzzy logic systems, a design method of an adaptive fuzzy logic controller is given for a class of nonlinear discrete time systems.
针对一类非线性离散时间系统,根据模糊逻辑系统的逼近性质,给出了一种自适应模糊逻辑控制器的设计方法。
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。
Based on fuzzy logic approximation principle, a new fuzzy decentralized controller is designed for a class of nonlinear interconnected systems with unknown dynamics.
基于模糊逻辑的近似原则,一种新的模糊分散控制器的设计一类非线性互联系统的未知因素。
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。
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。
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