successful, then the transmitted control input is applied at the plant side. If, on the other hand, there is a transmission failure, then the control input at the plant side is set to $0$. In this setting, the dynamics of the plant is given by $$\begin{aligned}
x(t+1) & =Ax(t)+(1-l(t))Bu_{\mathrm{C}}(t)+w_{\mathrm{P}}(t),\label{eq:system}\end{aligned}$$ where $x(t)\in\mathbb{R}^{n}$ is the state, $u_{\mathrm{C}}(t)\in\mathbb{R}^{m}$ is the control input that is attempted to be transmitted by the controller to the plant at time $t$, $w_{\mathrm{P}}(t)\in\mathbb{R}^{n}$ is the disturbance, and $l(t)\in\{0,1\}$ represents the transmission status (with $l(t)=1$ indicating failure and $l(t)=0$ indicating success). Moreover, $A\in\mathbb{R}^{n\times n}$ is the unstable system matrix and $B^{n\times m}$ is the input matrix.

The likelihood of a transmission failure depends on the power of the jamming interference signal. If the interference power is large, then it is more likely that there is a transmission failure. In particular, with $v(t)\in[0,\infty)$ denoting the jamming interference power at time $t$, the transmission failure indicator $l(t)$ in (\[eq:system\]) is given by $$\begin{aligned}
l(t) & \triangleq{\mathds{1}}[r(t)\leq p(v(t))],\quad t\in\mathbb{N}_{0},\label{eq:ldef}\end{aligned}$$ where, $p\colon[0,\infty)\to[0,1]$ is a Borel-measurable, nondecreasing function, and $r(0),r(1),\ldots$ are independent random variables that are distributed uniformly in $[0,1]$. Furthermore $\{r(t)\in[0,1]\}_{t\in\mathbb{N}_{0}}$ and $\{v(t)\in[0,\infty)\}_{t\in\mathbb{N}_{0}}$ are assumed to be mutually independent processes. Notice that for 