This paper considers the non-fragile distributed state estimation problem for Markov jump systems over sensor networks based on dissipative theory. Moreover, both state estimator gain variations and parameter uncertainties are assumed to be with mode-dependent for more practical modeling. On the basis of stochastic analysis and Lyapunov–Krasovskii function method, sufficient conditions with desired mode-dependent estimators are established such that the prescribed dissipative performance can be achieved. In the end, the effectiveness and applicability of the developed scheme is confirmed via the illustrative example.

中文翻译：

---

传感器网络上不确定Markov跳跃系统的非脆弱分布模式相关耗散状态估计

本文基于耗散理论，考虑了传感器网络上的马尔可夫跳跃系统的非脆弱分布状态估计问题。而且，为了更实际的建模，状态估计器增益变化和参数不确定性都被认为与模式有关。在随机分析和Lyapunov–Krasovskii函数法的基础上，建立了具有所需的模式相关估计量的充分条件，从而可以实现规定的耗散性能。最后，通过示例说明了所开发方案的有效性和适用性。