Fuzzy Model-Based Servo and Model Following Control for Nonlinear Systems
Fuzzy Model-Based Servo and Model Following Control for Nonlinear Systems
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DOI：
10.1109/tsmcb.2009.2025138
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发表时间：
2009-12
期刊：
影响因子：
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通讯作者：
H. Ohtake;Kazuo Tanaka;Hua O. Wang
中科院分区：
文献类型：
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作者：
H. Ohtake;Kazuo Tanaka;Hua O. Wang
利用基于Takagi-Sugeno模糊模型的控制方法，给出了一类非线性系统的伺服控制和非线性模型跟踪控制。首先，通过对原始非线性系统的微分，提出了连续时间非线性系统的增广模糊系统的构造方法。其次，介绍了动态模糊伺服控制器和动态模糊模型跟踪控制器，它们分别使非线性系统的输出收敛到目标点和参考系统的输出。最后，以线性矩阵不等式的形式给出了伺服控制器和模型跟随控制器的设计条件。设计实例说明了这种方法的实用性。
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.