at time $t$ (i.e., $v(t)=\vartheta=0$), there may still be a transmission failure due to channel noise $\sigma>0$, since $p(0)>0$.

Analysis of Networked Stabilization {#sec:Analysis-of-Networked}
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In this section, we investigate the networked stabilization of the plant (\[eq:system\]) through a state-feedback controller, where the control input transmitted by the controller is given by $$\begin{aligned}
u_{\mathrm{C}}(t) & =Kx(t)+w_{\mathrm{C}}(t),\quad t\in\mathbb{N}_{0},\label{eq:control-input}\end{aligned}$$ where $K\in\mathbb{R}^{m\times n}$ denotes the feedback gain, and $w_{\mathrm{C}}(t)\in\mathbb{R}^{m}$ is used for describing malicious or nonmalicious disturbances on the control input.

With $w(t)\triangleq w_{\mathrm{P}}(t)+(1-l(t))Bw_{\mathrm{C}}(t)$, the closed-loop networked control system (\[eq:system\]), (\[eq:control-input\]) becomes $$\begin{aligned}
x(t+1)=Ax(t)+(1-l(t))BKx(t)+w(t),\,\,t\in\mathbb{N}_{0}.\label{eq:closed-loop-system}\end{aligned}$$ In what follows, we first investigate the stability of (\[eq:closed-loop-system\]) in the disturbance-free case. Then we discuss how a strategic jamming attacker can take advantage of the disturbance to prevent stabilization. Finally, we obtain conditions of stability under disturbance.

Stabilization in the Disturbance-Free Case
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For the case without disturbance ($w(t)=0$, $t\in\mathbb{N}_{0}$), our previous work [@ahmetifacwc2017] shows that stabilization can be achieved if the long run average jamming interference power is bounded by a sufficiently small scalar. In particular, the characterization in [@ahmetifacwc2017] allows the interference power $v(t)$ to arbitrarily change at each time $t$ as long as it satisfies the following assumption.

\[FirstAssumption\] There exist scalars $\overline{\kappa},\overline{v}\geq0$ such 