Reduced observer design for aircraft linear velocity estimation

2018 ◽  
Author(s):  
A. Hamissi ◽  
M. Zaouche ◽  
M. Hamerain ◽  
K. Busawon ◽  
L. Dala ◽  
...  
Keyword(s):  
Linear Velocity ◽  
Velocity Estimation ◽  
Observer Design

3D Scan Matching using Linear Velocity Estimation for Forest Road Localization

2020 ◽  
Vol 140 (9) ◽  
pp. 1082-1090
Author(s):  
Hiroyuki Nakagomi ◽  
Yoshihiro Fuse ◽  
Yasuki Nagata ◽  
Hironaga Miyamoto ◽  
Masashi Yokotsuka ◽  
...  
Keyword(s):  
Linear Velocity ◽  
Velocity Estimation ◽  
Scan Matching ◽  
Forest Road ◽  
3D Scan

ON THE DIFFERENCE BETWEEN BOUNDED JACOBIAN AND LIPSCHITZ OBSERVERS FOR NONLINEAR ESTIMATION APPLICATIONS

2017 ◽  
Vol 41 (3) ◽  
pp. 395-415
Author(s):  
Gridsada Phanomchoeng ◽  
Rajesh Rajamani
Keyword(s):  
Convex Combination ◽  
Estimation Error ◽  
Lipschitz Constant ◽  
Longitudinal Velocity ◽  
Nonlinear Estimation ◽  
Velocity Estimation ◽  
Observer Design ◽  
Mean Value Theorem ◽  
Varying Coefficients ◽  
Time Varying Coefficients

This paper examines the performance of bounded Jacobian and Lipschitz observer design techniques for nonlinear estimation applications. The bounded Jacobian observer technique utilizes the mean value theorem to express the nonlinear estimation error dynamics as a convex combination of known matrices with time varying coefficients. The Lipschitz based observers are the most popular observer design technique used for nonlinear systems. But they are derived from more conservative Lipschitz conditions on the nonlinearity. Both observers are evaluated for longitudinal velocity estimation, vehicle roll angle estimation, and estimation in a polynomial nonlinear system with a large Lipschitz constant. The results show that the bounded Jacobian observer is the more appropriate observer for these problems.

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