Control signals () for each d.o.f. obtained from the regulation PID control experiment.

Control signals () for each d.o.f. obtained from the regulation PID control experiment.

<p>Real experiment (<i>u</i><sub>1</sub>, <i>u</i><sub>2</sub>, <i>u</i><sub>3</sub>) vs. approximated model (, , ) with the solution <i>p</i><sup>*</sup> obtained by PSO.</p>

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Bibliographic Details
Main Author:	Roberto Castro-Medina (21484990) (author)
Other Authors:	Miguel Gabriel Villarreal-Cervantes (21484993) (author), Leonel Germán Corona-Ramírez (21484996) (author), Geovanni Flores-Caballero (21484999) (author), Alejandro Rodríguez-Molina (6506204) (author), Ramón Silva-Ortigoza (11421101) (author), Víctor Darío Cuervo-Pinto (21485002) (author), Andrés Abraham Palma-Huerta (21485005) (author)
Published:	2025
Subjects:	Medicine Biotechnology Ecology Computational Biology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified thereby reducing risks optimal parameterization obtained robot &# 8217 particle swarm optimization freedom serial robot behavior closely resembles model &# 8217 another electromechanical system widely adopted due particularly robotic ones methodology &# 8217 developing control strategies robot model demonstrated inspired optimization techniques mil simulation environment model parameterization approach dynamic model parameters model parameterization inspired optimization dynamic parameters robotic systems particularly well enables simulation behavior accurately simulated model model characteristics inspired algorithms dynamic systems conservative model proposed approach holistic approach approach formulates system design real system physical system xlink "> work proposes wide range specialized real realistic simulations real plant reaction force proposed method practical models optimization problem mil ), inherent properties hil ), genetic algorithm fully leverage
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