带有量化信号的T-S模糊系统的采样数据控制

Xiaojing Han, Ningwei Cheng, Yuechao Ma
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引用次数: 0

摘要

研究了带有量化信号的T-S模糊系统的采样数据控制问题。基于构造的Lyapunov-Krasovskii泛函(LKF)、Jensen不等式和自由权矩阵,以线性矩阵不等式(lmi)的形式得到了若干充分条件。通过将输入延迟方法与动态量化相结合,设计了采样数据控制器,以保证具有量化信号的T-S模糊系统渐近稳定。最后通过数值算例验证了所提方法的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sampled-data Control for T-S Fuzzy Systems with Quantized Signals
This paper deals with the problem of sampled-data control for T-S fuzzy systems with quantized signals. Based on the constructed Lyapunov-Krasovskii functional(LKF), Jensen’s inequality and Free weight matrix, some sufficient conditions are obtained in the form of linear matrix inequalities(LMIs). By combining the input delay approach and dynamic quantizer, the sampled-data controller is designed to guarantee that T-S fuzzy systems with quantized signals is asymptotically stable. Finally, a numerical example is presented to verify the feasibility and effectiveness of the proposed methods.
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