Stability analysis of stochastic networked control systems under deception attacks: A novel self-triggered impulsive...

This paper addresses the exponential stability problem of stochastic networked control systems (SNCSs) subjected to both state-dependent and state-independent deception attacks. A novel self-triggered impulsive framework is proposed, comprising two strategies: self-triggered impulsive control (STIC) and self-triggered delayed impulsive control (STDIC), tailored for systems without and with impulse delays, respectively. In contrast to existing STIC approaches, the proposed methods impose no restrictions on inter-impulse intervals, eliminate the need for auxiliary comparison systems, and avoid complex implicit formulations. These advantages render the schemes more flexible and amenable to practical implementation. Moreover, unlike event-triggered impulsive control (ETIC), the STIC and STDIC strategies do not require continuous or periodic event detection while effectively excluding Zeno behavior. Sufficient conditions are established to ensure exponential stability under both types of deception attacks, explicitly revealing the interplay among triggering parameters, time delays, attack probabilities, and impulse gain. Finally, simulation results validate the effectiveness of the proposed methods.