scholarly journals E-Pilots: A system to predict hard landing during the approach phase of commercial flights

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Debora Gil ◽  
Aura Hernandez-Sabate ◽  
Julien Enconniere ◽  
Saryani Asmayawati ◽  
Pau Folch ◽  
...  
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2019 ◽  
Vol 63 (3) ◽  
pp. 1122-1132 ◽  
Author(s):  
Hyung-Chul Lim ◽  
Daniel Kucharski ◽  
Simon Kim ◽  
Chul-Sung Choi ◽  
Ki-Pyoung Sung ◽  
...  

Author(s):  
Daniel A. Sierra ◽  
Paul McCullough ◽  
Nejat Olgac ◽  
Eldridge Adams

We consider hostile conflicts between two multi-agent swarms. First, we investigate the complex nature of a single pursuer attempting to intercept a single evader (1P-1E), and establish some rudimentary rules of engagement. We elaborate on the stability repercussions of these rules. Second, we extend the modelling and stability analysis between multi-agent swarms of pursuers and evaders. The present document considers only swarms with equal membership strengths for simplicity. This effort is based on a set of suggested momenta deployed on individual agents. Due to the strong nonlinearities, Lyapunov-based stability analysis is used. The control of a group pursuit is divided into two phases: the approach phase during which the two swarms act like individuals in the 1P-1E interaction; and the assigned pursuit phase where each pursuer is assigned to an evader. A dissipative control momentum was suggested in an earlier publication, which caused undesirable control chatter. This study introduces a distributed control logic which ameliorates the chatter problems considerably.


Author(s):  
Murray Kerr ◽  
Miguel Hagenfeldt ◽  
Jose A. Ospina ◽  
Luis F. Penin ◽  
Marco Mammarella ◽  
...  
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Author(s):  
Michaël Huet ◽  
David M. Jacobs ◽  
Cyril Camachon ◽  
Cedric Goulon ◽  
Gilles Montagne

2003 ◽  
Vol 14 (4) ◽  
pp. 354-356 ◽  
Author(s):  
Laura J. Claxton ◽  
Rachel Keen ◽  
Michael E. McCarty

When adults reach for an object, kinematic measures of their approach movement are affected by what they intend to do after grasping it. We examined whether such future intended actions would be reflected in the approach-to-grasp phase of infant reaching. Twenty-one 10-month-old infants were encouraged to either throw a ball into a tub or fit it down a tube. Kinematic measures of the approach phase of the reach toward the ball were obtained using a motion analysis system. Infants, like adults, reached for the ball faster if they were going to subsequently throw it as opposed to using it in the precision action. The perceptual aspects of the ball were the same and cannot account for these kinematic differences. Infants appear to be planning both segments of their actions in advance. Our findings provide evidence for a level of sophistication in infant motor planning not reported before.


2016 ◽  
Vol 70 (3) ◽  
pp. 505-526 ◽  
Author(s):  
Xiaolin Ning ◽  
Zhuo Li ◽  
Yuqing Yang ◽  
Jiancheng Fang ◽  
Gang Liu

A Celestial Navigation System (CNS) is a feasible and economical autonomous navigation system for deep-space probes. Ephemeris errors have a great influence on the performance of CNSs during the Mars approach phase, but there are few research studies on this problem. In this paper, the analysis shows that the ephemeris error of Mars is slowly-varying, while the ephemeris error of Phobos and Deimos is periodical. The influence of the ephemeris errors of Mars and its satellites is analysed in relation to both the Sun-centred frame and the Mars-centred frame. The simulations show that the position error of a probe relative to the Sun caused by the Mars ephemeris error is almost equal to the ephemeris error itself, that the velocity error is affected slightly, and that the position and velocity relative to Mars are hardly affected. The navigation result of a Mars probe is also greatly affected by the quantities and periodicities of the ephemeris errors of Phobos and Deimos, especially that of Deimos.


2016 ◽  
Vol 128 ◽  
pp. 33-43 ◽  
Author(s):  
Sarah H. Flanigan ◽  
Gabe D. Rogers ◽  
Yanping Guo ◽  
Madeline N. Kirk ◽  
Harold A. Weaver ◽  
...  
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