A prescribed‐performance‐like control for improving tracking performance of networked robots

2021 ◽  
Author(s):  
Di‐Hua Zhai ◽  
Yuanqing Xia
Keyword(s):  
Tracking Performance ◽  
Networked Robots ◽  
Prescribed Performance

Multiple-Object Tracking

2011 ◽  
Vol 58 (3) ◽  
pp. 196-200 ◽  
Author(s):  
K. Botterill ◽  
R. Allen ◽  
P. McGeorge
Keyword(s):  
Object Tracking ◽  
Cognitive Processes ◽  
Spatial Location ◽  
Multiple Object Tracking ◽  
Tracking Performance ◽  
Multiple Object

The Multiple-Object Tracking paradigm has most commonly been utilized to investigate how subsets of targets can be tracked from among a set of identical objects. Recently, this research has been extended to examine the function of featural information when tracking is of objects that can be individuated. We report on a study whose findings suggest that, while participants can only hold featural information for roughly two targets this task does not affect tracking performance detrimentally and points to a discontinuity between the cognitive processes that subserve spatial location and featural information.

Tracking performance as measured by time continuously on target.

1954 ◽  
Author(s):  
E. J. Archer ◽  
L. B. Wyckoff ◽  
F. G. Brown
Keyword(s):  
Tracking Performance

Demand transitions and tracking performance efficiency: Structural and strategic models

2005 ◽  
Author(s):  
Nathaniel R. Ungar ◽  
Gerald Matthews ◽  
Joel S. Warm ◽  
William N. Dember ◽  
John K. Thomas ◽  
...  
Keyword(s):  
Tracking Performance
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