分数阶0 < α < 1的不确定矩形奇异分数阶T-S模糊系统的鲁棒镇定

IF 1.9 4区 数学 Q1 MATHEMATICS
X. F. Zhang, J. Ai
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引用次数: 0

摘要

提出了一种新的方法来研究分数阶为0 < α < 1的不确定矩形奇异分数阶Takagi-Sugeno (T-S)模糊系统的鲁棒镇定问题。首先,通过设计一种新的T-S模糊动态补偿器,将不确定矩形奇异分数阶T-S模糊系统转化为增广不确定正方形奇异分数阶T-S模糊系统;其次,以线性矩阵不等式(LMI)的形式给出了不确定矩形奇异分数阶T-S模糊系统鲁棒镇定的充分条件。最后通过数值算例验证了所提结果的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust stabilization of uncertain rectangular singular fractional order T-S fuzzy systems with the fractional order 0 < α < 1
This paper presents a novel method to investigate the robust stabilization problem of uncertain rectangular singular fractional order Takagi-Sugeno (T-S) fuzzy systems with the fractional order 0 < α < 1. Firstly, the uncertain rectangular singular fractional order T-S fuzzy system is transformed into an augmented uncertain square singular fractional order T-S fuzzy system by designing a new T-S fuzzy dynamic compensator. Secondly, a sufficient condition in the form of linear matrix inequalities (LMI) is obtained for the robust stabilization of the uncertain rectangular singular fractional order T-S fuzzy system. Finally, a numerical example is given to verify the effectiveness of the results proposed.
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来源期刊
CiteScore
3.50
自引率
16.70%
发文量
0
期刊介绍: The two-monthly Iranian Journal of Fuzzy Systems (IJFS) aims to provide an international forum for refereed original research works in the theory and applications of fuzzy sets and systems in the areas of foundations, pure mathematics, artificial intelligence, control, robotics, data analysis, data mining, decision making, finance and management, information systems, operations research, pattern recognition and image processing, soft computing and uncertainty modeling. Manuscripts submitted to the IJFS must be original unpublished work and should not be in consideration for publication elsewhere.
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