Spelling suggestions: "subject:"kalman, filtering"" "subject:"kalman, iltering""
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A technique for dual adaptive control.Alster, Jacob. January 1972 (has links)
No description available.
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A discrete-time robust extended kalman filter for estimation of nonlinear uncertain systemsKallapur, Abhijit, Aerospace, Civil & Mechanical Engineering, Australian Defence Force Academy, UNSW January 2009 (has links)
This thesis provides a novel approach to the problem of state estimation for discrete-time nonlinear systems in the presence of large model uncertainties. Though classical nonlinear Kalman filters such as the extended Kalman filter (EKF) can handle uncertainties by increasing the value of noise covariances, this is only applicable to systems with small uncertainties. To this end, a discretetime robust extended Kalman filter (REKF) is formulated and applied to examples from the fields of aerospace engineering and signal processing with an emphasis on attitude estimation for small unmanned aerial vehicles (UAVs) and image processing under the influence of atmospheric turbulence. The robust filter is an approximate set-valued state estimator where the Riccati and filter equations are obtained as an approximate solution to a reverse-time optimal control problem defining the set-valued state estimator. The advantages of the REKF over the classical EKF are investigated for examples from the fields aerospace engineering and signal processing where large model uncertainties are introduced. In the case of small UAVs, an alternative attitude estimation algorithm based on the REKF is proposed in the event of gyroscopic failure and the inability of the vehicle to carry redundant sensors due to limited payload capabilities. In the case of image reconstruction under atmospheric turbulence, a robust pixel-wandering (random shifts) scheme is proposed to aid the process of image reconstruction. Also, problems pertaining to platform vibration analysis for aerospace vehicles and a frequency demodulation process in the presence of channel-induced uncertainties is also discussed.
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Robust filtering / Garry Allan Einicke.Einicke, Garry Allan January 1995 (has links)
Includes bibliographical reference. / viii, 149 leaves : ill. ; 30 cm. / Title page, contents and abstract only. The complete thesis in print form is available from the University Library. / This study is concerned with filters that are robust to uncertainties in either the signal models or the noise statistics. Extensions to an interpolation approach to solving a continuous-time, linear, stationary filtering problem are presented. A robust extended Kalman filter is developed. / Thesis (Ph.D.)--University of Adelaide, Dept. of Electrical and Electronic Engineering, 1996?
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Development of a ground truth simulator and application of a generalized multiple-model adaptive estimation approach to tune a state estimation filter /Wyffels, Kevin L. January 2007 (has links)
Thesis (M.S.)--Rochester Institute of Technology, 2007. / Typescript. Includes bibliographical references (leaves 92-93).
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Employ sensor fusion techniques for determining aircraft attitude and position informationJarrell, Jason A. January 2008 (has links)
Thesis (M.S.)--West Virginia University, 2008. / Title from document title page. Document formatted into pages; contains xii, 108, [9] p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 104-108).
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Development of a low cost controller and navigation system for unmanned ground vehicleMuppidi, Shashidhar. January 2008 (has links)
Thesis (M.S.)--West Virginia University, 2008. / Title from document title page. Document formatted into pages; contains x, 141 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 76-78).
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Efficient solutions to autonomous mapping and navigation problemsWilliams, Stefan Bernard. January 2001 (has links)
Thesis (Ph. D.)--University of Sydney, 2002. / Title from title screen (viewed Apr. 24, 2008). Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the Australian Centre for Field Robotics, Dept. of Mechanical and Mechatronic Engineering, Faculty of Engineering. Degree awarded 2002; thesis submitted 2001. Includes bibliography. Also available in print form.
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Sequential Monte Carlo particle filtering for state estimation /Smith, Laurence, January 1900 (has links)
Thesis (M.App.Sc.) - Carleton University, 2006. / Includes bibliographical references (p. 111-118). Also available in electronic format on the Internet.
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Ensemble Kalman filter method for Gaussian and non-Gaussian priors /Zhao, Yong. January 2008 (has links)
Thesis (Ph.D.) -- University of Tulsa, 2008. / Includes bibliographical references (leaves 261-270)
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Efficiency gains for seasonal adjustment by joint modelling of disaggregated seriesBirrell, Carole. January 2008 (has links)
Thesis (Ph.D.)--University of Wollongong, 2008. / Typescript. Includes bibliographical references: leaf 243-250.
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