稳定2型TSK模糊系统的参数化设计

NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI:10.1109/NAFIPS.2008.4531279

Mohammad Biglar Begian, William W. Melek, J. Mendel

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引用次数: 54

摘要

提出了一种新的推理机制来设计稳定区间2型Takagi-Sugeno-Kang (TSK)动态模糊系统。该引擎引入了一种封闭的推理形式，取代了类型简化过程。这种封闭的推理形式使分析方法能够应用于不确定模糊系统的系统建模和控制。此外，利用所提出的推理机推导了2型TSK动态系统的稳定性条件。通过数值算例验证了该方法的有效性。本文提出的方法可用于系统地设计稳定的2型TSK系统。

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Parametric design of stable type-2 TSK fuzzy systems

This paper presents a novel inference mechanism to design stable interval type-2 Takagi-Sugeno-Kang (TSK) dynamic fuzzy systems. The proposed engine introduces a closed form fur inference which replaces the type-reduction process. This closed form for inference enables the application of analytical methods for systematic modeling and control of uncertain fuzzy systems. Moreover, stability conditions are derived for type-2 TSK dynamic systems utilizing the proposed inference engine. The effectiveness of this new approach is validated through numerical examples. The methodology proposed herein can be used to systematically design stable type-2 TSK systems.

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NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society

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