Matches in SemOpenAlex for { <https://semopenalex.org/work/W2078171407> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W2078171407 abstract "The target intercept problem has two main components. The first is the development of a control loop for the interceptor. The second is the target-tracking system that provides the location of the target to the control law. The tracking system is a significant element, particularly when predictive control is used and the target motion is unknown a priori. A neural Kalman filter approach to target tracking is presented as a technique to improve the motion model of the target while it is being tracked in flight. A linearized version of that model is then used to provide an improved estimate of the predicted location of the target. The technique uses an augmented Kalman filter that couples the tracking capabilities and a neural network training algorithm. The motion model then becomes a composite of the a priori motion model and neural network. The model is then linearized at the state for which it was computed; and this linearized model is used to propagate the state estimate forward to a given intercept time. The improved model generally gives a better result than the standard straight-line motion tracking performance, even with target maneuvering included in the process noise." @default.
- W2078171407 created "2016-06-24" @default.
- W2078171407 creator A5034346452 @default.
- W2078171407 creator A5067035684 @default.
- W2078171407 date "2007-01-01" @default.
- W2078171407 modified "2023-09-28" @default.
- W2078171407 title "PREDICTIVE GUIDANCE INTERCEPT USING THE NEURAL EXTENDED KALMAN FILTER TRACKER" @default.
- W2078171407 cites W1536066714 @default.
- W2078171407 cites W1568122762 @default.
- W2078171407 cites W1581159451 @default.
- W2078171407 cites W1593142434 @default.
- W2078171407 cites W1646998587 @default.
- W2078171407 cites W2007224051 @default.
- W2078171407 cites W2027646026 @default.
- W2078171407 cites W2073507324 @default.
- W2078171407 cites W2098422935 @default.
- W2078171407 cites W2103496339 @default.
- W2078171407 cites W2112462566 @default.
- W2078171407 cites W2118351673 @default.
- W2078171407 cites W2124825740 @default.
- W2078171407 cites W2133964965 @default.
- W2078171407 cites W2138484437 @default.
- W2078171407 cites W2151195457 @default.
- W2078171407 cites W2151916095 @default.
- W2078171407 cites W2155526849 @default.
- W2078171407 cites W2161351106 @default.
- W2078171407 cites W2318829383 @default.
- W2078171407 cites W2079095392 @default.
- W2078171407 doi "https://doi.org/10.2316/journal.201.2007.3.201-1751" @default.
- W2078171407 hasPublicationYear "2007" @default.
- W2078171407 type Work @default.
- W2078171407 sameAs 2078171407 @default.
- W2078171407 citedByCount "7" @default.
- W2078171407 countsByYear W20781714072023 @default.
- W2078171407 crossrefType "journal-article" @default.
- W2078171407 hasAuthorship W2078171407A5034346452 @default.
- W2078171407 hasAuthorship W2078171407A5067035684 @default.
- W2078171407 hasConcept C106131492 @default.
- W2078171407 hasConcept C111472728 @default.
- W2078171407 hasConcept C115961682 @default.
- W2078171407 hasConcept C138885662 @default.
- W2078171407 hasConcept C154945302 @default.
- W2078171407 hasConcept C157286648 @default.
- W2078171407 hasConcept C15744967 @default.
- W2078171407 hasConcept C19417346 @default.
- W2078171407 hasConcept C206833254 @default.
- W2078171407 hasConcept C2775924081 @default.
- W2078171407 hasConcept C2775936607 @default.
- W2078171407 hasConcept C31972630 @default.
- W2078171407 hasConcept C41008148 @default.
- W2078171407 hasConcept C47446073 @default.
- W2078171407 hasConcept C50644808 @default.
- W2078171407 hasConcept C75553542 @default.
- W2078171407 hasConcept C99498987 @default.
- W2078171407 hasConceptScore W2078171407C106131492 @default.
- W2078171407 hasConceptScore W2078171407C111472728 @default.
- W2078171407 hasConceptScore W2078171407C115961682 @default.
- W2078171407 hasConceptScore W2078171407C138885662 @default.
- W2078171407 hasConceptScore W2078171407C154945302 @default.
- W2078171407 hasConceptScore W2078171407C157286648 @default.
- W2078171407 hasConceptScore W2078171407C15744967 @default.
- W2078171407 hasConceptScore W2078171407C19417346 @default.
- W2078171407 hasConceptScore W2078171407C206833254 @default.
- W2078171407 hasConceptScore W2078171407C2775924081 @default.
- W2078171407 hasConceptScore W2078171407C2775936607 @default.
- W2078171407 hasConceptScore W2078171407C31972630 @default.
- W2078171407 hasConceptScore W2078171407C41008148 @default.
- W2078171407 hasConceptScore W2078171407C47446073 @default.
- W2078171407 hasConceptScore W2078171407C50644808 @default.
- W2078171407 hasConceptScore W2078171407C75553542 @default.
- W2078171407 hasConceptScore W2078171407C99498987 @default.
- W2078171407 hasLocation W20781714071 @default.
- W2078171407 hasOpenAccess W2078171407 @default.
- W2078171407 hasPrimaryLocation W20781714071 @default.
- W2078171407 hasRelatedWork W1502128911 @default.
- W2078171407 hasRelatedWork W1583551837 @default.
- W2078171407 hasRelatedWork W1923104924 @default.
- W2078171407 hasRelatedWork W1964790151 @default.
- W2078171407 hasRelatedWork W1991431134 @default.
- W2078171407 hasRelatedWork W2096568910 @default.
- W2078171407 hasRelatedWork W2389779607 @default.
- W2078171407 hasRelatedWork W2605201477 @default.
- W2078171407 hasRelatedWork W3193930900 @default.
- W2078171407 hasRelatedWork W2495173271 @default.
- W2078171407 isParatext "false" @default.
- W2078171407 isRetracted "false" @default.
- W2078171407 magId "2078171407" @default.
- W2078171407 workType "article" @default.