Fractional-Order System Identification: Efficient Reduced-Order Modeling with Particle Swarm Optimization and AI-Based Algorithms for Edge Computing Applications

Fractional-Order System Identification: Efficient Reduced-Order Modeling with Particle Swarm Optimization and AI-Based Algorithms for Edge Computing Applications

Fractional-order systems capture complex dynamic behaviors more accurately than integer-order models, yet their real-time identification remains challenging, particularly in resource-constrained environments. This work proposes a hybrid framework that combines Particle Swarm Optimization (PSO) with...

Full description

Saved in:
Bibliographic Details
Main Authors: Ignacio Fidalgo Astorquia, Nerea Gómez-Larrakoetxea, Juan J. Gude, Iker Pastor
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Mathematics
Subjects:
fractional-order systems
reduced-order modeling
Particle Swarm Optimization
artificial intelligence
edge computing
real-time control
Online Access:https://www.mdpi.com/2227-7390/13/8/1308
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2227-7390/13/8/1308

Similar Items