Tracking optimization in nonparametric identification of time-varying nonlinear systems
From MaRDI portal
Publication:6619611
DOI10.1007/978-3-031-35173-0_13MaRDI QIDQ6619611
Publication date: 16 October 2024
time-varying systemsnon-parametric identificationKernel methodnearest neighborEfron's bootstraptracking optimization
Cites Work
- An orthogonal series estimate of time-varying regression
- Bibliography on cyclostationarity
- Nonparametric identification of quasi-stationary systems
- Kernel-based identification of Wiener-Hammerstein system
- Time-varying nonlinear regression models: nonparametric estimation and model selection
- Combined parametric-nonparametric identification of block-oriented systems
- Recursive identification of time-varying systems: self-tuning and matrix RLS algorithms
- Nonlinear and nonstationary signal processing
- Fluctuation analysis of stochastic gradient identification of polynomial Wiener systems
- Real-time identification of time-varying systems by non-parametric algorithms based on Parzen kernels
- First-order tracking properties of weighted least squares estimators
- Application of multiple Fourier series to identification of multivariable non-stationary systems
- Identification of time-varying systems using multiresolution wavelet models
- Time-varying system identification and model validation using wavelets
This page was built for publication: Tracking optimization in nonparametric identification of time-varying nonlinear systems
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6619611)
