基于Takagi-Sugeno模糊模型的广义预测控制

Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014) Pub Date : 1900-01-01 DOI:10.1109/ISIC.1999.796689

M.L. Hadjili, V. Wertz

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引用次数: 19

摘要

预测控制最初是用来控制由ARIMAX模型描述的线性时不变对象的。考虑了该控制策略在被控对象行为为非线性且采用Takagi-Sugeno模糊模型建模的情况下的推广。这种非线性模型是局部线性的，可以将GPC技术扩展为并行分布式控制器。

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Generalized predictive control using Takagi-Sugeno fuzzy models

Predictive control was first developed to control linear time invariant plants described by ARIMAX models. The extension of this control strategy to the case when the behavior of the plant is nonlinear and modeled by a Takagi-Sugeno fuzzy model is considered. This kind of nonlinear model is locally linear and the GPC technique can be extended as a parallel distributed controller.

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Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014)

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