A Comparative Analysis of Metaheuristic Algorithms for Enhanced Parameter Estimation on Inverted Pendulum System Dynamics

This research explores the application of metaheuristic algorithms to refine parameter estimation in dynamic systems, with a focus on the inverted pendulum model. Three optimization techniques, Particle Swarm Optimization (PSO), Continuous Genetic Algorithm (CGA), and Salp Swarm Algorithm (SSA), are...

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Vydáno v:	Mathematics (Basel) Ročník 12; číslo 11; s. 1625
Hlavní autoři:	Sanin-Villa, Daniel, Rodriguez-Cabal, Miguel Angel, Grisales-Noreña, Luis Fernando, Ramirez-Neria, Mario, Tejada, Juan C.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.06.2024
Témata:	Accuracy Algorithms Automation Business metrics Comparative analysis Confidence intervals continuous genetic algorithm Control algorithms Controllers dynamic model Dynamical systems Efficiency Engineering Errors Fuzzy control Fuzzy logic Genetic algorithms Heuristic methods Heuristic programming inverted pendulum Investigations Mathematical models metaheuristic algorithms Methods Optimization algorithms Optimization techniques Parameter estimation Particle swarm optimization Pendulum Pendulums Performance evaluation Physical properties Predictive control Proportional integral derivative Robotics Statistical analysis Surveillance System dynamics Unmanned aerial vehicles Mexico
ISSN:	2227-7390, 2227-7390
On-line přístup:	Získat plný text
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