BROOK
发表于 2025-3-25 07:04:30
Kalman Filtering for Interval Systems,ng algorithm cannot be directly applied. In this case, robust Kalman filtering that has the ability of handling uncertainty is needed. In this chapter we introduce one of such robust Kalman filtering algorithms.
民间传说
发表于 2025-3-25 08:05:44
978-3-319-83780-2Springer International Publishing AG 2017
Veneer
发表于 2025-3-25 14:22:14
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描绘
发表于 2025-3-25 17:24:09
Extended Kalman Filter and System Identification, procedure is usually performed in deriving the filtering equations. We will consider a real-time linear Taylor approximation of the system function at the previous state estimate and that of the observation function at the corresponding predicted position.
断言
发表于 2025-3-25 20:19:53
Kalman Filtering for Interval Systems,ng algorithm cannot be directly applied. In this case, robust Kalman filtering that has the ability of handling uncertainty is needed. In this chapter we introduce one of such robust Kalman filtering algorithms.
defibrillator
发表于 2025-3-26 02:54:19
Preliminaries,The importance of Kalman filtering in engineering applications is well known, and its mathematical theory has been rigorously established. The main objective of this treatise is to present a thorough discussion of the mathematical theory, computational algorithms, and application to real-time tracking problems of the Kalman filter.
chiropractor
发表于 2025-3-26 05:40:46
Correlated System and Measurement Noise Processes,In the previous two chapters, Kalman filtering for the model involving uncorrelated system and measurement noise processes was studied.
prosperity
发表于 2025-3-26 11:28:24
Colored Noise Setting,Consider the linear stochastic system with the following state-space description.
博识
发表于 2025-3-26 13:31:23
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吸气
发表于 2025-3-26 20:21:10
Sequential and Square-Root Algorithms,It is now clear that the only time-consuming operation in the Kalman filtering process is the computation of the Kalman gain matrices.