Temat: multisensor system - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Fusion Kalman filtration for distributed multisensor systems
Autorzy:: Duda, Z.
Powiązania:: https://bibliotekanauki.pl/articles/229236.pdf
Data publikacji:: 2014
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: fusion Kalman filtration
multisensor system
one step delay information
Opis:: In the paper, fusion state hierarchical filtration for a multisensor system is considered. An optimal global Kalman filter is realized by a central node in the information form. The state estimate depends on local information that should be sent by local nodes. Two information structures are considered in the paper. In the first case local estimates are based on the local measurement information. It leads to distributed Kalman filter fusion that is well known in a literature. In the second case local node has additionally global information of the system with one step delay. A synthesis of local filters is presented. An advantage of this structure is discussed.
Źródło:: Archives of Control Sciences; 2014, 24, 1; 53-65
1230-2384
Pojawia się w:: Archives of Control Sciences
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Fusion Kalman filtration with k-step delay sharing pattern
Autorzy:: Duda, Z.
Powiązania:: https://bibliotekanauki.pl/articles/229569.pdf
Data publikacji:: 2015
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: fusion Kalman filtration
multisensor system
k− step delay sharing pattern
Opis:: A fusion hierarchical state filtration with k−step delay sharing pattern for a multisensor system is considered. A global state estimate depends on local state estimates determined by local nodes using local information. Local available information consists of local measurements and k−step delay global information - global estimate sent from a central node. Local estimates are transmitted to the central node to be fused. The synthesis of local and global filters is presented. It is shown that a fusion filtration with k−step delay sharing pattern is equivalent to the optimal centralized classical Kalman filtration when local measurements are transmitted to the center node and used to determine a global state estimate. It is proved that the k−step delay sharing pattern can reduce covariances of local state errors.
Źródło:: Archives of Control Sciences; 2015, 25, 3; 307-318
1230-2384
Pojawia się w:: Archives of Control Sciences
Dostawca treści:: Biblioteka Nauki

Artykuł

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