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

Decentralized H∞Robust Filtering Algorithm Based on Federated Filter Structure

  • The decentralized H∞robust filtering algorithm based on federated filter structure is deeply investigated. By studying the H∞filter structure and its robustness mechanism,a series of H∞robust information filtering formulas are presented,on which a set of simple and practicable federated H∞robust 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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