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首页> 外文期刊>Fuzzy sets and systems >Decentralized H_∞ fuzzy filter for nonlinear large-scale sampled-data systems with uncertain interconnections
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Decentralized H_∞ fuzzy filter for nonlinear large-scale sampled-data systems with uncertain interconnections

机译：具有不确定互连的非线性大规模采样数据系统的分散H_∞模糊滤波器

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摘要

This paper proposes a decentralized H-infinity fuzzy filter technique for nonlinear large-scale interconnected systems that are based on the Takagi-Sugeno fuzzy model. The large-scale system has unknown interconnection terms that are assumed to satisfy the quadratic bounds. An error system between the nonlinear large-scale system and the decentralized filter is constructed. By using the fuzzy Lyapunov technique, sufficient conditions are proposed for both showing asymptotic stability and guaranteeing H-infinity fuzzy filter performance. These sufficient conditions are derived in terms of linear matrix inequalities. Finally, simulation examples are given to demonstrate the effectiveness of the proposed technique. (C) 2017 Elsevier B.V. All rights reserved.
机译：本文基于Takagi-Sugeno模糊模型，提出了一种用于非线性大规模互联系统的分散H-∞模糊滤波器技术。大规模系统具有未知的互连项，这些互连项被假定为满足二次边界。建立了非线性大系统与分散滤波器之间的误差系统。通过使用模糊Lyapunov技术，为显示渐近稳定性和保证H-无限模糊滤波器性能提供了充分的条件。这些充分条件是根据线性矩阵不等式得出的。最后，通过仿真实例证明了所提技术的有效性。 （C）2017 Elsevier B.V.保留所有权利。

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