We investigate the remote state estimation problem for networked systems over parallel noise-free communication channels. Due to limited network capabilities in practical network environments, communication schedulers are implemented at the transmit side of each subchannel to promote resource efficiency. Specifically, the processed signals are transmitted only when it is necessary to provide the real-time measurements to the remote estimator. The recursive approximate minimum mean-square error estimator is established to restore the state vector of a target plant by utilizing the scheduled transmission signals. All the information coming from the individual subchannels, even if no measurement is sent, will contribute to improve the estimation performance in an analytical form. Finally, a numerical example is given to illustrate the effectiveness of the main results.

我们研究了并行无噪声通信信道上联网系统的远程状态估计问题。由于实际网络环境中的网络能力有限，在每个子信道的发送侧实施通信调度器以提高资源效率。具体而言，仅在需要向远程估计器提供实时测量值时才发送处理后的信号。建立递归近似最小均方误差估计器，利用调度的传输信号恢复目标设备的状态向量。来自各个子信道的所有信息，即使没有发送测量值，也将有助于以分析形式提高估计性能。最后，