Testing if a nonlinear system is additive or not
From MaRDI portal
Publication:1737916
DOI10.1016/j.automatica.2019.02.053zbMath1415.93274OpenAlexW2922370253WikidataQ128295153 ScholiaQ128295153MaRDI QIDQ1737916
Publication date: 24 April 2019
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2019.02.053
Nonlinear systems in control theory (93C10) Identification in stochastic control theory (93E12) Control/observation systems in abstract spaces (93C25)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Derivative reproducing properties for kernel methods in learning theory
- Variable selection in nonparametric additive models
- Nonlinear system identification via direct weight optimization
- Regressor and structure selection in NARX models using a structured ANOVA approach
- Identification of an additive nonlinear system and its applications in generalized Hammerstein models
- Spline-backfitted kernel smoothing of nonlinear additive autoregression model
- Identification of nonlinear additive FIR systems
- 10.1162/153244302760185252
- Non-parametric identification of non-linear oscillating systems
- Estimating Optimal Transformations for Multiple Regression and Correlation
- Additive hazards models with latent treatment effectiveness lag time
- Burmann expansion and test for additivity
- Sparse Additive Models
- Additivity tests for nonlinear autoregression
- Gradient-Based Kernel Dimension Reduction for Regression
- Variable Selection and Identification of High-Dimensional Nonparametric Additive Nonlinear Systems
This page was built for publication: Testing if a nonlinear system is additive or not