Identification in the delta domain: a unified approach via GWOCFA

DOI10.1007/S00500-019-04232-8zbMath1492.93038OpenAlexW2963579377WikidataQ127479714 ScholiaQ127479714MaRDI QIDQ2152879

Prasanta Sarkar, Gagandeep Kaur, Souvik Ganguli

Publication date: 11 July 2022

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-019-04232-8

zbMATH Keywords

chaotic mapHammerstein modelWiener modeldelta operatorgrey wolf optimizer-based chaotic firefly algorithm (GWOCFA)

Mathematics Subject Classification ID

System identification (93B30)

Related Items (1)

A hybrid metaheuristic algorithm for identification of continuous-time Hammerstein systems

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• System identification. An introduction.
• Firefly algorithm with chaos
• Parametric identification with performance assessment of Wiener systems using brain storm optimization algorithm
• A novel APSO-aided maximum likelihood identification method for Hammerstein systems
• A genetic approach to the identification of linear dynamical systems with static nonlinearities
• A generalized Kruskal-Wallis test for comparing K samples subject to unequal patterns of censorship

This page was built for publication: Identification in the delta domain: a unified approach via GWOCFA