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Robust Fault-tolerant Fuzzy Filtering with Exponential Time-varying Gains for Sampled-data T-S Fuzzy Systems

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Abstract

This paper proposes a novel approach to designing a fault-tolerant \({H}_{\infty }\) sampled-data fuzzy filter using exponential time-varying gains. The utilization of exponential time-varying gains not only achieves a reduction in convergence time but also provides relaxation in the numerical optimization of design conditions. Also, through the use of a robust control technique, the designed filter is equipped with enhanced fault-tolerant capabilities. In addition, sufficient conditions for ensuring \({H}_{\infty }\)-based state estimation performance are derived as linear matrix inequalities (LMIs) based on the Lyapunov–Krasovskii functional (LKF). Finally, simulation results demonstrate the superior performance of the proposed method when compared to existing methodologies.

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Acknowledgements

This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. RS-2023-00251621).

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Authors and Affiliations

  1. Department of Electronics and Electrical Engineering, Dankook Univerity, Yongin, Korea

    Ji Ho An

  2. Department of Control and Instrumentation Engineering, Korea Maritime and Ocean Univerity, Busan, Korea

    Han Sol Kim

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  1. Ji Ho An
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Correspondence to Han Sol Kim.

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An, J.H., Kim, H.S. Robust Fault-tolerant Fuzzy Filtering with Exponential Time-varying Gains for Sampled-data T-S Fuzzy Systems. J. Electr. Eng. Technol. (2024). https://doi.org/10.1007/s42835-024-01911-x

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  • DOI: https://doi.org/10.1007/s42835-024-01911-x

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