This article investigates the state estimation issue for a nonlinear networked system with network-based communication, where the measurement signals of the system are transmitted in an intermittent manner under the effects of unreliable communication. For the sake of enhancing the utilization efficiency of measurement signals, a buffer-aided strategy is employed here by storing historical measurement signals when the communication channel is unavailable. A so-called average bit rate constraint is introduced to restrain the transmission rate of the communication channel with the aim of avoiding the communication burden. The essential objective of this article is to construct a state estimator for the nonlinear system subject to the effects of intermittent signal transmissions and buffer-aided strategy. By using the Lyapunov-function-based method and the stochastic analysis technique, a sufficient condition is obtained for the exponentially ultimate boundedness of the estimation error dynamics under the average bit rate constraint. Then, by using a constrained optimization problem, the desired estimator gain matrix is derived. Finally, two simulation examples are presented to demonstrate the effectiveness of the proposed estimation method.

中文翻译：

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平均比特率受限的非线性网络系统的最终有界状态估计：缓冲辅助策略

本文研究了基于网络通信的非线性网络系统的状态估计问题，其中系统的测量信号在不可靠通信的影响下以间歇方式传输。为了提高测量信号的利用效率，这里采用缓冲辅助策略，在通信信道不可用时存储历史测量信号。引入所谓的平均比特率约束来限制通信信道的传输速率，以避免通信负担。本文的基本目标是为受间歇信号传输和缓冲辅助策略影响的非线性系统构建状态估计器。通过使用基于李亚普诺夫函数的方法和随机分析技术，获得了平均比特率约束下估计误差动态指数最终有界的充分条件。然后，通过使用约束优化问题，导出所需的估计器增益矩阵。最后，给出了两个仿真例子来证明所提出的估计方法的有效性。