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Analysis of the Stochastic Stability and Asymptotically Stationary Statistics for a Class of Nonlinear Attitude Estimation Algorithms

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서명/저자사항Analysis of the Stochastic Stability and Asymptotically Stationary Statistics for a Class of Nonlinear Attitude Estimation Algorithms.
개인저자Galante, Joseph M.
단체저자명University of Maryland, College Park. Aerospace Engineering.
발행사항[S.l.]: University of Maryland, College Park., 2018.
발행사항Ann Arbor: ProQuest Dissertations & Theses, 2018.
형태사항416 p.
기본자료 저록Dissertation Abstracts International 80-01B(E).
Dissertation Abstract International
ISBN9780438434165
학위논문주기Thesis (Ph.D.)--University of Maryland, College Park, 2018.
일반주기 Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Adviser: Robert M. Sanner.
요약Attitude estimation algorithms are critical components of satellite control systems, aircraft autopilots, and other applications. Attitude estimation systems perform their task by fusing attitude and gyroscope measurements
요약The first part of this thesis extends a deterministic nonlinear attitude estimator by introducing additional dynamics that allow learning variations of gyro bias as a function of operating temperature, a common source of bias variation in rate g
요약In many cases these bounds are conservative, but solutions have been found for the associated stationary Fokker-Planck PDEs for two cases. When only the gyro measurement contains noise, the attitude estimation errors are shown to converge to a b
일반주제명Aerospace engineering.
Applied mathematics.
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