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This paper addresses the control problem of discrete-time networked stochastic systems (DNSSs) subject to multi-source disturbances and false data injection attacks (FDIAs). The disturbances affecting the system include external disturbance of known partial information and stochastic white noise. To mitigate the adverse effects of these disturbances, a state observer (SO) and a stochastic disturbance observer (SDO) are designed to estimate the system state and the external disturbance. Furthermore, the \(H_{\infty }\) control method is employed to handle the bounded disturbance. Thus, a composite controller is proposed to ensure the asymptotically mean-square bounded of the system. Finally, the effectiveness of the proposed control scheme is validated through numerical simulations.

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Anti-disturbance Control of Networked Stochastic Systems Subjected to Disturbances and Attacks

  • 会议论文

  • 发表日期：

    2026年

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  • Xiaoyu Li,
  • Xinjiang Wei

摘要

This paper addresses the control problem of discrete-time networked stochastic systems (DNSSs) subject to multi-source disturbances and false data injection attacks (FDIAs). The disturbances affecting the system include external disturbance of known partial information and stochastic white noise. To mitigate the adverse effects of these disturbances, a state observer (SO) and a stochastic disturbance observer (SDO) are designed to estimate the system state and the external disturbance. Furthermore, the \(H_{\infty }\) control method is employed to handle the bounded disturbance. Thus, a composite controller is proposed to ensure the asymptotically mean-square bounded of the system. Finally, the effectiveness of the proposed control scheme is validated through numerical simulations.