LI Jin-liang, HAO Shun-yi, ZHANG Zong-lin. Decentralized H∞Robust Filtering Algorithm Based on Federated Filter Structure[J]. INFORMATION AND CONTROL, 2008, 37(3): 284-290.
Citation: LI Jin-liang, HAO Shun-yi, ZHANG Zong-lin. Decentralized H∞Robust Filtering Algorithm Based on Federated Filter Structure[J]. INFORMATION AND CONTROL, 2008, 37(3): 284-290.

Decentralized HRobust Filtering Algorithm Based on Federated Filter Structure

  • The decentralized Hrobust filtering algorithm based on federated filter structure is deeply investigated. By studying the Hfilter structure and its robustness mechanism,a series of Hrobust information filtering formulas are presented,on which a set of simple and practicable federated Hrobust filtering algorithms are also built.Compared with conventional federated Kalman filter,it only adds a robustness step,which equals to a sort of federated Kalman filtering algorithm in Krein space.Finally,four structures of the algorithm and the corresponding performance are analyzed.The simulation results proves the effectiveness and feasibility of the proposed algorithm.
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