This work addresses the distributed state estimation for complex networks with delayed measurements.The Bernoulli process is employed to describe the measurements with randomly occurred one step delay.The state predictor is derived based on the system mode,and the distributed state estimator is designed by using delayed measurements.The coupling term between nodes is eliminated based on Young's inequality,and the covariance of state prediction is improved by optimizing the parameters introduced by Young's inequality.Furthermore,the op-timal state estimation error covariance is achieved by designing the estimator gain.Thanks to the state prediction error covariance,the iterative inequality of the state estimation error covariance is derived,and its sufficient condi-tion for stability is established.Finally,the moving vehicles based coupled system is given to illustrate the effective-ness of the designed estimator.
关键词
复杂网络/分布式状态估计/时滞测量/稳定性分析
Key words
Complex network/distributed state estimation/delayed measurement/stability analysis
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