Fuzzy model-based servo and model following control for nonlinear systems.

Hiroshi Ohtake, Kazuo Tanaka, Hua O Wang
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引用次数: 22

Abstract

This correspondence presents servo and nonlinear model following controls for a class of nonlinear systems using the Takagi-Sugeno fuzzy model-based control approach. First, the construction method of the augmented fuzzy system for continuous-time nonlinear systems is proposed by differentiating the original nonlinear system. Second, the dynamic fuzzy servo controller and the dynamic fuzzy model following controller, which can make outputs of the nonlinear system converge to target points and to outputs of the reference system, respectively, are introduced. Finally, the servo and model following controller design conditions are given in terms of linear matrix inequalities. Design examples illustrate the utility of this approach.

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基于模糊模型的非线性系统伺服与模型跟随控制。
本文采用基于Takagi-Sugeno模糊模型的控制方法对一类非线性系统进行了伺服和非线性模型跟踪控制。首先,通过对原非线性系统进行微分,提出了连续时间非线性系统增广模糊系统的构造方法。其次,介绍了能使非线性系统的输出分别收敛于目标点和参照系输出的动态模糊伺服控制器和动态模糊模型跟随控制器。最后,根据线性矩阵不等式给出了伺服和模型跟随控制器的设计条件。设计示例说明了这种方法的实用性。
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