On identification of block orientated systems by non-parametric techniques
From MaRDI portal
Publication:5287938
DOI10.1080/00207729308949543zbMath0773.93014OpenAlexW1972681270MaRDI QIDQ5287938
Adam Krzyżak, Marian A. Partyka
Publication date: 8 August 1993
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207729308949543
Related Items
Non-parametric identification of dynamic non-linear systems by a Hermite Series Approach ⋮ Recursive identification of continuous-time Hammerstein systems
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Distribution-free pointwise consistency of kernel regression estimate
- Nonparametric curve estimation from time series
- Optimal global rates of convergence for nonparametric regression
- Non-parametric identification of a memoryless system with a cascade structure
- Probability Inequalities for the Sum of Independent Random Variables
- Discrete time adaptive control of linear dynamic systems with a two-segment piecewise-linear asymmetric nonlinearity
- Almost everywhere convergence of a recursive regression function estimate and classification (Corresp.)
- On the design of nonlinear discrete-time predictors (Corresp.)
- Identification of discrete Hammerstein systems using kernel regression estimates
- 2-D partial fraction expansions and minimal commutative realizations
- Signal identification after noisy nonlinear transformations
- Non-linear system identification using the Hammerstein model
- An iterative method for the identification of nonlinear systems using a Uryson model
- Non-parametric orthogonal series identification of Hammerstein systems
- The rates of convergence of kernel regression estimates and classification rules