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This paper presents a distributed Kalman filter algorithm for cascaded systems of fractional order. A functional distribution of a large scale system and of the state estimation algorithm leads to smaller and scalable nodes with reduced memory and computational effort. Since each subsystem performs its calculations locally, a central processing node is not needed. All data which are required by subsequent...
This paper is about the decentralization and distribution of a Kalman filter for fractional order systems. A fractional order discrete state space is introduced for a global system and divided into different submodules. The distribution of the model and of the state estimation algorithm leads to small and scalable units, which do not need a central processing node. Each submodule performs its computation...
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