A new path following algorithm with uncertainty information of robot's initial position and its implementation

2015 ◽  
Author(s):  
Jinke Li ◽  
Ruiqing Fu ◽  
Xinyu Wu ◽  
Jianquan Sun ◽  
Huiwen Guo ◽  
...  
Keyword(s):  
Path Following ◽  
Initial Position ◽  
Uncertainty Information ◽  
Path Following Algorithm

scholarly journals Broken lines path following algorithm for a water-jet propulsion USV with disturbance uncertainties

2020 ◽  
Vol 201 ◽  
pp. 107118 ◽  
Author(s):  
Yujiao Zhao ◽  
Xin Qi ◽  
Atilla Incecik ◽  
Yong Ma ◽  
Zhixiong Li
Keyword(s):  
Path Following ◽  
Water Jet ◽  
Jet Propulsion ◽  
Disturbance Uncertainties ◽  
Path Following Algorithm

A corrector–predictor path-following algorithm for semidefinite optimization

2014 ◽  
Vol 07 (02) ◽  
pp. 1450028 ◽  
Author(s):  
Behrouz Kheirfam
Keyword(s):  
Line Search ◽  
Optimization Problems ◽  
Path Following ◽  
Central Path ◽  
Semidefinite Optimization ◽  
Iteration Complexity ◽  
Proximity Measure ◽  
Corrector Step ◽  
Predictor Step ◽  
Path Following Algorithm

A corrector–predictor algorithm is proposed for solving semidefinite optimization problems. In each two steps, the algorithm uses the Nesterov–Todd directions. The algorithm produces a sequence of iterates in a neighborhood of the central path based on a new proximity measure. The predictor step uses line search schemes requiring the reduction of the duality gap, while the corrector step is used to restore the iterates to the neighborhood of the central path. Finally, the algorithm has [Formula: see text] iteration complexity.

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