Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Adolfo Perrusquía"'
Publikováno v:
Communications Engineering, Vol 3, Iss 1, Pp 1-14 (2024)
Abstract Unmanned Autonomous Vehicle (UAV) or drones are increasingly used across diverse application areas. Uncooperative drones do not announce their identity/flight plans and can pose a potential risk to critical infrastructures. Understanding dro
Externí odkaz:
https://doaj.org/article/c94dfbb8ffe34384b5281ab3163e9bcb
Publikováno v:
Sensors, Vol 24, Iss 23, p 7762 (2024)
The use of drones or Unmanned Aerial Vehicles (UAVs) and other flying vehicles has increased exponentially in the last decade. These devices pose a serious threat to helicopter pilots who constantly seek to maintain situational awareness while flying
Externí odkaz:
https://doaj.org/article/bea87d5b34b34afbbbfea61757d1dbdb
Publikováno v:
Drones, Vol 8, Iss 10, p 546 (2024)
The increasing use of unmanned aerial vehicles (UAVs) is overwhelming air traffic controllers for the safe management of flights. There is a growing need for sophisticated path-planning techniques that can balance mission objectives with the imperati
Externí odkaz:
https://doaj.org/article/4dab04ba475a4ee4b77e73e0b8e3bcbe
Autor:
Juan Alejandro Flores-Campos, Christopher René Torres-San-Miguel, Juan Carlos Paredes-Rojas, Adolfo Perrusquía
Publikováno v:
Robotics, Vol 13, Iss 10, p 145 (2024)
Trajectory interception is a critical synchronization element in the transportation and manufacturing sectors using robotic platforms. This is usually performed by matching the position and velocity of a target object with the position and velocity o
Externí odkaz:
https://doaj.org/article/7df852ac952d451bbebf14d3a66ca7ea
Publikováno v:
Aerospace, Vol 11, Iss 8, p 684 (2024)
Recent advances in radar seeker technologies have considerably improved missile precision and efficacy during target interception. This is especially concerning in the arenas of protection and safety, where appropriate countermeasures against enemy m
Externí odkaz:
https://doaj.org/article/da8ed22462024d01a7664a36621d9d67
Autor:
Mostafa El Debeiki, Saba Al-Rubaye, Adolfo Perrusquía, Christopher Conrad, Juan Alejandro Flores-Campos
Publikováno v:
Future Internet, Vol 16, Iss 3, p 89 (2024)
The use of unmanned aerial vehicles (UAVs) is increasing in transportation applications due to their high versatility and maneuverability in complex environments. Search and rescue is one of the most challenging applications of UAVs due to the non-ho
Externí odkaz:
https://doaj.org/article/e679fc312e444c74b06de3d51bb5d080
Autor:
Adolfo Perrusquía, Weisi Guo
Risk mitigation is usually addressed in simulated environments for safety critical control. The migration of the final controller requires further adjustments due to the simulation assumptions and constraints. This paper presents the design of an exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7af72696f11ac759f2a542419601bbb5
https://dspace.lib.cranfield.ac.uk/handle/1826/19646
https://dspace.lib.cranfield.ac.uk/handle/1826/19646
This paper presents an on-line parametric estimation method for robot manipulators. The identification algorithm estimates the parameters by using the input error between the robot and a parallel estimated model. Both, the robot and the estimated mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a290c7e9a1e171b44f11c8269ddc7af
https://dspace.lib.cranfield.ac.uk/handle/1826/17767
https://dspace.lib.cranfield.ac.uk/handle/1826/17767
Autor:
Adolfo Perrusquía
This paper reviews an almost new method for the design of optimal decision making controllers named as Human-Behavior learning. This new paradigm is inspired by the complementary learning that different areas of the human brain have to improve learni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3080050d53617db51bc9683eaecc9a14
https://dspace.lib.cranfield.ac.uk/handle/1826/17680
https://dspace.lib.cranfield.ac.uk/handle/1826/17680
Autor:
Adolfo Perrusquía
In this paper, a Q-learning algorithm is proposed to solve the linear quadratic regulator problem of black box linear systems. The algorithm only has access to input and output measurements. A Luenberger observer parametrization is constructed using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d9a5338bd64a47a08dd0f2592f4a58d
https://dspace.lib.cranfield.ac.uk/handle/1826/17670
https://dspace.lib.cranfield.ac.uk/handle/1826/17670