activity
20182025
most citedNonlinear Stochastic Attitude Filters on the Special Orthogonal Group 3: Ito and Stratonovich

59 citations · 135 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2025★ 1 cited

Beacon-Based Feedback Control for Parking an Active-Joint Center-Articulated Mobile Robot

Mehdi Delrobaei, Kenneth McIsaac

This paper presents an autonomous parking control strategy for an active-joint center-articulated mobile robot. We first derive a kinematic model of the robot, then propose a contr…

math.OC2019★ 30 cited

Nonlinear Pose Filters on the Special Euclidean Group SE(3) with Guaranteed Transient and Steady-state Performance

Hashim A. Hashim, Lyndon J. Brown, Kenneth McIsaac

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 s…

math.OC2019★ 5 cited

Guaranteed Performance of Nonlinear Pose Filter on SE(3)

Hashim A. Hashim, Lyndon J. Brown, Kenneth McIsaac

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. T…

math.OC2019★ 18 cited

Guaranteed Performance of Nonlinear Attitude Filters on the Special Orthogonal Group SO(3)

Hashim A. Hashim, Lyndon J. Brown, Kenneth McIsaac

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 per…

math.OC2019

Nonlinear Explicit Stochastic Attitude Filter on SO(3)

Hashim A. Hashim, Lyndon J. Brown, Kenneth McIsaac

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 fun…

eess.SY2018★ 22 cited

Nonlinear Stochastic Position and Attitude Filter on the Special Euclidean Group 3

Hashim A. Hashim, Lyndon J. Brown, Kenneth McIsaac

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 t…