LTI approximation of nonlinear systems via signal distribution theory

DOI10.1016/j.automatica.2006.02.018zbMath1117.93315OpenAlexW2041030128MaRDI QIDQ857127

Pertti M. Mäkilä

Publication date: 14 December 2006

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2006.02.018

zbMATH Keywords

identificationnonlinear systemapproximationleast squaresleast absolute deviationnear-linearity

Mathematics Subject Classification ID

Linear programming (90C05) System identification (93B30) Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) Robust stability (93D09)

Related Items (1)

Measuring a linear approximation to weakly nonlinear MIMO systems

Cites Work

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• LTI modelling of NFIR systems: near-linearity and control, LS estimation and linearization
• On covariance function tests used in system identification
• On robustness in control and LTI identification: near-linearity and non-conic uncertainty
• Nonlinear systems. Analysis, stability, and control
• Squared and absolute errors in optimal approximation of nonlinear systems.
• Linear approximations of nonlinear FIR systems for separable input processes
• On linear models for nonlinear systems
• Least-squares LTI approximation of nonlinear systems and quasistationarity analysis
• Estimating linear time-invariant models of nonlinear time-varying systems
• Bounded Power Signal Spaces for Robust Control and Modeling
• Frequency domain system identification with missing data
• L p-discrepancy and statistical independence of sequences
• On Optimal LTI Approximation of Nonlinear Systems
• Frequency response function measurements in the presence of nonlinear distortions

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