Zobrazeno 1 - 10
of 116
pro vyhledávání: '"McIsaac, Kenneth"'
Two novel nonlinear pose (i.e, attitude and position) filters developed directly on the Special Euclidean Group SE(3)able to guarantee prescribed characteristics of transient and steady-state performance are proposed. The position error and normalize
Externí odkaz:
http://arxiv.org/abs/1906.03326
This paper presents a novel nonlinear pose filter evolved directly on the Special Euclidean Group SE(3) with guaranteed characteristics of transient and steady-state performance. The above-mention characteristics can be achieved by trapping the posit
Externí odkaz:
http://arxiv.org/abs/1903.10569
This paper proposes two novel nonlinear attitude filters evolved directly on the Special Orthogonal Group SO(3) able to ensure prescribed measures of transient and steady-state performance. The tracking performance of the normalized Euclidean distanc
Externí odkaz:
http://arxiv.org/abs/1812.09398
This work proposes a nonlinear stochastic filter evolved on the Special Orthogonal Group SO(3) as a solution to the attitude filtering problem. One of the most common potential functions for nonlinear deterministic attitude observers is studied and r
Externí odkaz:
http://arxiv.org/abs/1812.04441
This paper formulates the pose estimation problem as nonlinear stochastic filter kinematics evolved directly on the Special Euclidean Group SE(3). Proposed filter guarantees that the errors present in position and Rodriguez vector estimates are semi-
Externí odkaz:
http://arxiv.org/abs/1812.00993
Two nonlinear stochastic complimentary filters are developed on SO(3). They guarantee that errors in the Rodriguez vector and estimates are semi-globally uniformly ultimately bounded in mean square, and they converge to a small neighborhood of the or
Externí odkaz:
http://arxiv.org/abs/1810.03130
Autor:
Bloomfield, Riley A., Broberg, Jordan S., Williams, Harley A., Lanting, Brent A., McIsaac, Kenneth A., Teeter, Matthew G.
Publikováno v:
In Medical Engineering and Physics March 2021 89:14-21
Autor:
Bloomfield, Riley A., Williams, Harley A., Broberg, Jordan S., Lanting, Brent A., McIsaac, Kenneth A., Teeter, Matthew G.
Publikováno v:
In The Journal of Arthroplasty October 2019 34(10):2267-2271
Publikováno v:
In Journal of the Franklin Institute May 2019 356(7):4144-4173
Publikováno v:
In Computers and Geosciences November 2018 120:97-104