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针对空间连接系统,提出一种分布式递推状态估计算法,并给出算法收敛的充分必要条件.该分布式估计器由一系列子估计器组成,每个子估计器只利用本地子系统和相邻子系统的输出测量值估计本地子系统的状态.与集总式Kalman滤波相比,在牺牲少量估计精度的情况下,所提出算法大幅降低了计算复杂度和数据传输压力.
Aiming at the space-connected system, a distributed recursion state estimation algorithm is proposed, and the necessary and sufficient conditions for the convergence of the algorithm are given. The distributed estimator consists of a series of sub-estimators, each using only the local subsystem and phase The output measurements of neighboring systems estimate the state of the local subsystem.Compared with the lumped Kalman filter, the proposed algorithm significantly reduces the computational complexity and data transmission pressure at the expense of a small amount of estimation accuracy.