System identification by operatorial cancellation of nonlinear terms and application to a class of Volterra models

DOI10.1002/rnc.3622zbMath1364.93153OpenAlexW2511273357MaRDI QIDQ5739102

Céline Casenave, Emmanuel Montseny, G. Montseny

Publication date: 2 June 2017

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.3622

zbMATH Keywords

system identificationnonlinear systemVolterra modeldiffusive representationoperatorial cancellation

Mathematics Subject Classification ID

System identification (93B30) Nonlinear systems in control theory (93C10) Control/observation systems in abstract spaces (93C25)

Related Items

Theoretical analysis of a water wave model with a nonlocal viscous dispersive term using the diffusive approach ⋮ Parameter estimation for nonlinear Volterra systems by using the multi-innovation identification theory and tensor decomposition

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Weak Allee effect in a predator-prey system involving distributed delays
• Time-local formulation and identification of implicit Volterra models by use of diffusive representation
• QR factorization of Toeplitz matrices
• The identification of nonlinear biological systems: Wiener and Hammerstein Cascade models
• Identification of systems containing linear dynamic and static nonlinear elements
• Identification problems for singular integro-differential equations of parabolic type. II
• Decoupling the linear and nonlinear parts in Hammerstein model identification
• Identification of Hammerstein nonlinear ARMAX systems
• On learning the input-output behaviour of nonlinear fading memory systems from finite data
• Robust Kalman filtering for nonlinear multivariable stochastic systems in the presence of non-Gaussian noise
• A convex approach for NMPC based on second order Volterra series models
• Nonlinear System Identification
• Convergence of fixed-point iteration for the identification of Hammerstein and Wiener systems
• Time delay estimation in continuous linear time-invariant systems
• Competition in the Chemostat: A Distributed Delay Model and Its Global Asymptotic Behavior
• Identification of a 2D turbulent wind spectrum
• Continuous-time Hammerstein system identification
• Hybrid Feedback Control and Robust Stabilization of Nonlinear Systems