Identification of nonlinear systems using NARMAX model

DOI10.1016/j.na.2009.01.150zbMath1238.93115OpenAlexW2084633092MaRDI QIDQ419906

Scott Roger Shepard, Alireza Rahrooh

Publication date: 20 May 2012

Published in: Nonlinear Analysis. Theory, Methods \& Applications. Series A: Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.na.2009.01.150

zbMATH Keywords

identificationmodelingnonlinear systemsnarmax

Mathematics Subject Classification ID

Identification in stochastic control theory (93E12) Dynamical systems in control (37N35)

Related Items (5)

System identification application using Hammerstein model ⋮ Non‐Parametric Identification Method of Volterra Kernels for Nonlinear Systems Excited by Multitone Signal ⋮ Modeling and tracker for unknown nonlinear stochastic delay systems with positive input constraints ⋮ A hybrid particle swarm optimization-cuckoo search algorithm and its engineering applications ⋮ Online identification of the bilinear model expansion on Laguerre orthonormal bases

Cites Work

• Unnamed Item
• Input-output parametric models for non-linear systems Part II: stochastic non-linear systems
• Representations of non-linear systems: the NARMAX model

This page was built for publication: Identification of nonlinear systems using NARMAX model