Distributed intelligent fuzzy filtering method based on pull gossip protocol and fading data

Abstract

The application discloses a kind of distributed intelligent fuzzy filtering method based on pull gossip protocol and fading data, belong to sensor network and filtering technical field, first accurately describe nonlinear system by fuzzy approximation;Combined with pull gossip protocol to construct measurement fading model, to depict the data transmission characteristics under non-ideal communication environment;Then introduce the stability and robustness of filter algorithm by energy function test, design the filter structure under the influence of gossip protocol, and solve the filter gain matrix by offline optimization;Finally, the system state estimation value of each sampling time is obtained by using the designed filter structure recursion.The application combines pull gossip protocol with intelligent fuzzy filtering technology organically, while ensuring high-precision state estimation, effectively improves the utilization efficiency of network resources.In addition, the key gain parameter is solved by offline optimization, which further enhances the executability and stability of the algorithm in practical engineering applications.

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