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<p>This paper addresses the problem of state estimation for linear systems subject to bounded disturbances, with an application to battery management systems. The proposed approach ensures that the estimation error decays exponentially to zero over time and that the observer error dynamics remain stable by applying Halanay’s inequality to a Lyapunov-Krasovskii functional. Numerical simulations are also used to study the considered models. Furthermore, this study extends the proposed methodology to the class of fuzzy systems using the Takagi-Sugeno framework, aiming to develop more efficient computational techniques for practical implementation.</p>

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Advanced state estimation methods with application to different classes of BMS

  • 期刊论文

  • 发表日期：

    2025年12月15日

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  • M. Ayari,
  • M. A. Hammami,
  • Z. Klai

摘要

This paper addresses the problem of state estimation for linear systems subject to bounded disturbances, with an application to battery management systems. The proposed approach ensures that the estimation error decays exponentially to zero over time and that the observer error dynamics remain stable by applying Halanay’s inequality to a Lyapunov-Krasovskii functional. Numerical simulations are also used to study the considered models. Furthermore, this study extends the proposed methodology to the class of fuzzy systems using the Takagi-Sugeno framework, aiming to develop more efficient computational techniques for practical implementation.