Auxiliary model-based multi-innovation PSO identification for Wiener–Hammerstein systems with scarce measurements
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering
Reference49 articles.
1. A subspace-based identification of Wiener–Hammerstein benchmark model;Ase;Control Eng. Pract.,2015
2. Identification of nonlinear systems using adaptive variable-order fractional neural networks (Case study: A wind turbine with practical results);Aslipour;Eng. Appl. Artif. Intell.,2019
3. Collaborative linear dynamical system identification by scarce relevant/irrelevant observations;Bakhtiari;Multidimens. Syst. Signal Process.,2019
4. Identification of fractional water transport model with ψ-Caputo derivatives using particle swarm optimization algorithm;Bohaienko;Appl. Math. Comput.,2021
5. Comprehensive learning particle swarm optimization algorithm with local search for multimodal functions;Cao;IEEE Trans. Evol. Comput.,2019
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