<p>This paper studies the global tracking secure control problem for nonlinear networked control systems with unknown control directions. The problem of unknown control directions in networked control systems results from both deception attacks and the inherent properties of the systems. To address this issue, we propose using the orientation function as a replacement for the traditional Nussbaum function. Moreover, a low-computation controller design and stability analysis method is proposed, which eliminates the need for repeated differentiation of virtual controllers and the complex construction of Lyapunov functions, in contrast to traditional methods. Fixed-time tracking control functions are introduced to ensure the system output reaches a specified region within a fixed-time. The initial value of the tracking error can be any value and the violation of full-state constraints is prevented. Finally, simulations are conducted to demonstrate the effectiveness of the proposed approach.</p>

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Low-computation global secure tracking control for network control systems with unknown control directions

  • Jiahui Li,
  • Weiwei Sun,
  • Lusong Ding,
  • Xinyu Lv

摘要

This paper studies the global tracking secure control problem for nonlinear networked control systems with unknown control directions. The problem of unknown control directions in networked control systems results from both deception attacks and the inherent properties of the systems. To address this issue, we propose using the orientation function as a replacement for the traditional Nussbaum function. Moreover, a low-computation controller design and stability analysis method is proposed, which eliminates the need for repeated differentiation of virtual controllers and the complex construction of Lyapunov functions, in contrast to traditional methods. Fixed-time tracking control functions are introduced to ensure the system output reaches a specified region within a fixed-time. The initial value of the tracking error can be any value and the violation of full-state constraints is prevented. Finally, simulations are conducted to demonstrate the effectiveness of the proposed approach.