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Sampled-data Robust H∞ Control for T-S Fuzzy Time-delay Systems with State Quantization

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  • Control Theory and Applications
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Abstract

This paper investigates the sampled-data robust H∞ control for T-S fuzzy time-delay systems with state quantization. Based on a modified Lyapunov-Krasovskii function(LKF), which is fully considered the characteristics of sample-data and state quantization, a sample-data and state quantized controller is designed. By introducing the free weighting matrices, some integral techniques and modified inequalities, the results in this paper are less conservative than other existing results. At the end of the paper, two examples are given to show the effectiveness and superiority of the proposed methods.

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Authors and Affiliations

  1. School of Science, Yanshan University, Qinhuangdao, Hebei, 066004, P. R. China

    Xiaojing Han & Yuechao Ma

Authors
  1. Xiaojing Han
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  2. Yuechao Ma
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Corresponding author

Correspondence to Yuechao Ma.

Additional information

Recommended by Associate Editor Muhammad Rehan under the direction of Editor Young IL Lee.

Xiaojing Han received the B.S. degree from Hui Hua College of Hebei Normal University, Shijiazhuang, China, in 2016. She is currently a Master degree candidate in School of Science, Yanshan University, China. Her research interests include T-S fuzzy systems, nonlinear systems and singular systems, etc.

Yuechao Ma received the Ph.D. degree in Northeast University, Shenyang, China, in 2006. He is currently a full professor in the School of College of Science, Yanshan University, China. His research interests include linear and nonlinear control, neural networks, robust control, etc.

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Han, X., Ma, Y. Sampled-data Robust H∞ Control for T-S Fuzzy Time-delay Systems with State Quantization. Int. J. Control Autom. Syst. 17, 46–56 (2019). https://doi.org/10.1007/s12555-018-0279-3

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  • DOI: https://doi.org/10.1007/s12555-018-0279-3

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