On state estimability of linear stochastic system under communication access constraints
通讯访问约束条件下线性随机系统的状态可估计性

The problem of estimability is discussed for linear multivariable discrete-time stochastic systems with communication access constraints. To deal with the communication constraints caused by the limited access, a binary-value function is used to describe the access status of the output signals. Based on the measure of mutual information, the problem of state estimability is discussed and a condition for estimability under access constraints is derived. Analytical analysis and simulation results show that there exist proper communication strategies which preserve the estimability of the system under communication access constraints. Furthermore, an equivalent relation between the estimability of stochastic system and the observability of corresponding deterministic system is proved under communication access constraints.