Instrumental variables for nonlinearity recovering in block-oriented systems driven by correlated signals
From MaRDI portal
Publication:5265596
DOI10.1080/00207721.2013.775682zbMath1317.93259OpenAlexW2103605647MaRDI QIDQ5265596
Publication date: 28 July 2015
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2013.775682
convergence analysissystem identificationHammerstein systeminstrumental variablessemi-parametric methods
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (2)
Nonparametric instrumental variables for identification of block-oriented systems ⋮ Multi-innovation gradient estimation algorithms and convergence analysis for feedback nonlinear equation-error moving average systems
Cites Work
- Unnamed Item
- Parameter estimation for nonlinear dynamical adjustment models
- Identification of block-oriented systems in the presence of nonparametric input nonlinearities of switch and backlash types
- Block-oriented nonlinear system identification
- An optimal two-stage identification algorithm for Hammerstein-Wiener nonlinear systems
- Identification of systems containing linear dynamic and static nonlinear elements
- Strong laws of large numbers under weak assumptions with application
- Identification of multi-input systems based on correlation techniques
- Instrumental-variable methods for identification of Hammerstein systems
- Strongly consistent parameter estimation by the introduction of strong instrumental variables
- Applicability of least-squares to the parameter estimation of large-scale no-memory linear composite systems
- Nonlinear system identification by the Haar multiresolution analysis
- Measurement and identification of nonlinear systems consisting of linear dynamic blocks and one static nonlinearity
- Nonparametric identification of nonlinearities in block-oriented systems by orthogonal wavelets with compact support
- Recursive identification of continuous-time Hammerstein systems
- Recursive identification of hammerstein systems with discontinuous nonlinearities containing dead-zones
- Combined Parametric–Nonparametric Identification of Hammerstein Systems
- Hammerstein system identification by non-parametric instrumental variables
This page was built for publication: Instrumental variables for nonlinearity recovering in block-oriented systems driven by correlated signals
