LTI modelling of NFIR systems: near-linearity and control, LS estimation and linearization
From MaRDI portal
Publication:705433
DOI10.1016/j.automatica.2004.08.004zbMath1067.93016OpenAlexW2036905028MaRDI QIDQ705433
Publication date: 31 January 2005
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2004.08.004
linearizationNonlinear systemsLinear modelsLeast squaresIdentification for controlNearly linear systemsNFIR systems
System identification (93B30) Least squares and related methods for stochastic control systems (93E24) Linearizations (93B18)
Related Items
On robustness in control and LTI identification: near-linearity and non-conic uncertainty, LTI approximation of nonlinear systems via signal distribution theory, Measuring a linear approximation to weakly nonlinear MIMO systems
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On covariance function tests used in system identification
- Nonlinear systems. Analysis, stability, and control
- On robustness in system identification
- Information-based complexity and nonparamteric worst-case system identification
- Squared and absolute errors in optimal approximation of nonlinear systems.
- On system gains for linear and nonlinear systems
- On linear models for nonlinear systems
- Estimating linear time-invariant models of nonlinear time-varying systems
- Robustness analysis of nonlinear feedback systems: an input-output approach
- Frequency domain system identification with missing data
- Graphs, closability, and causality of linear time-invariant discrete-time systems
