By C. T. Leonides
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Additional resources for Advances in Algorithms and Computational Techniques in Dynamic Systems Control, Part 3 of 3
Similarly, Fig. 16 shows the reconstructed heading error in the D U filter. The heading error is more sensitive to changes in flight parameters, as shown by the large increase in covariance during the initiation of the full " S " turn. After about half a minute, however, the heading error covariance approximates that of the centralized filter. The application of the gain transfer algorithm is thus shown to successfully reconstruct filter state covariances in one filter without direct processing of observations for those filter states.
E f l o w a d g i a r m o f r h t e s m i u o a i l n t o f h t e c e n z a r e i t l p a g o a i n t s i s h o w n n i F g i . 8 . T h e f l o w a d g i a r m d u n i r g e x e c n u i g t o f h t e s m i u o a i l t n . n I t a i y l , a l m c e a i r h ts e p o r p e r n i t a i l c o n o d i t n i s . The cen za re itld a clu ae ltd and usedo to fm ru aelt h te K m aian ga ni mxa irt + R(K+ I)]". 4 (8) O B S E R V O A N T IS r 54 S T A T E C E N T R Z A E L D I M O D E L F T IERC S T A T E ΓL O V A R N IC E S W I L L I A M T.
T h e m ig m u o a i l n t s i a c e n z a r e i t l d 5 4 s a t e t m o d e l d e s b c i e r d a g g rca e g a e t o f a l s a t e s c o m n s p i g r h t e o l c a l e m s i t a o t s r lm o b a l n i e t r e s . t T h e c e n r a t l m o d e l a s l o p o r c e s e s h t o b s e v o r a i n t s d r e i c y l t . T h e o b e j v c i e t o f h t s i s m i u o a i l n t s i o t o b s e v r e c o v a n i r c e s a s a y t p c i a l f l i g ht p r o e l i f p o r c e d s n i m i t p eyrl,h ts ea rlesvan irc h o d u rdu ed, e m s iro tp a etd te t ero vu a ae e rsas p p o ra cln hg i beh tee ru tce GAIN TRANSFER A N D HIERARCHICAL H A.
Advances in Algorithms and Computational Techniques in Dynamic Systems Control, Part 3 of 3 by C. T. Leonides