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<p>In this paper, the observer-based sliding mode control for semi-Markov switching power models under cyber attacks is studied. The semi-Markov switching model is used to model the power system accurately. Considering that the actual working environment system state is difficult to obtain completely, the observer is used to estimate the system state information. According to the semi-Markov kernel and the Lyapunov function related to the current system mode and sojourn time, the <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\sigma \)</EquationSource> <EquationSource Format="MATHML"><math> <mi>σ</mi> </math></EquationSource> </InlineEquation>-error mean-square stability conditions of the system under the influence of denial-of-service attacks are obtained. An observer-based sliding mode control strategy is designed to overcome the influence of uncertain parameters and achieve the reachability of sliding modes. Finally, the effectiveness of the proposed control method is verified by numerical simulation.</p>

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Observer-based sliding mode control for semi-Markov switching power models under cyber attacks

  • 期刊论文

  • 发表日期：

    2025年12月5日

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  • Jiao Liu,
  • Liang Chen,
  • Junlin Wang

摘要

In this paper, the observer-based sliding mode control for semi-Markov switching power models under cyber attacks is studied. The semi-Markov switching model is used to model the power system accurately. Considering that the actual working environment system state is difficult to obtain completely, the observer is used to estimate the system state information. According to the semi-Markov kernel and the Lyapunov function related to the current system mode and sojourn time, the \(\sigma \) σ -error mean-square stability conditions of the system under the influence of denial-of-service attacks are obtained. An observer-based sliding mode control strategy is designed to overcome the influence of uncertain parameters and achieve the reachability of sliding modes. Finally, the effectiveness of the proposed control method is verified by numerical simulation.