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Universal Fuzzy Models and Universal Fuzzy Controllers for Stochastic Nonaffine Nonlinear Systems

机译:随机非仿射非线性系统的通用模糊模型和通用模糊控制器

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This paper investigates the universal fuzzy model and universal fuzzy controller problems for stochastic nonaffine nonlinear systems. The underlying mechanism of stochastic fuzzy logic is first discussed, and a stochastic generalized fuzzy model with new stochastic fuzzy rule base is then given. Based on their function approximation capability, these kinds of stochastic generalized fuzzy models are shown to be universal fuzzy models for stochastic nonaffine nonlinear systems under some sufficient conditions. An approach to stabilization controller design for stochastic nonaffine nonlinear systems is then developed through their stochastic generalized Takagi–Sugeno (T–S) fuzzy approximation models. Then, the results of universal fuzzy controllers for two classes of stochastic nonlinear systems, along with constructive procedures to obtain the universal fuzzy controllers, are also provided, respectively. Finally, a numerical example is presented to illustrate the effectiveness of the proposed approach.
机译:本文研究了随机非仿射非线性系统的通用模糊模型和通用模糊控制器问题。首先讨论了随机模糊逻辑的内在机理,然后给出了具有新的随机模糊规则库的随机广义模糊模型。基于它们的函数逼近能力,这些随机广义模糊模型被证明是在一定条件下用于随机非仿射非线性系统的通用模糊模型。然后,通过其随机广义广义Takagi-Sugeno(TS)模糊逼近模型,开发出一种用于随机非仿射非线性系统的稳定控制器设计方法。然后,分别提供了两类随机非线性系统的通用模糊控制器的结果,以及获得通用模糊控制器的构造过程。最后,给出了一个数值例子来说明所提方法的有效性。

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