Bias-Correction Errors-in-Variables Hammerstein Model Identification
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Bias-Correction Errors-in-Variables Hammerstein Model Identification
Authors
Keywords
-
Journal
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Volume 70, Issue 7, Pages 7268-7279
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2022-08-27
DOI
10.1109/tie.2022.3199931
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Non-asymptotic Confidence Regions for the Transfer Functions of Errors-in-Variables Systems
- (2021) Masoud Moravej Khorasani et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Optimized Design of Parity Relation-Based Residual Generator for Fault Detection: Data-Driven Approaches
- (2020) Yuchen Jiang et al. IEEE Transactions on Industrial Informatics
- Gray-Box Parsimonious Subspace Identification of Hammerstein-Type Systems
- (2020) Jie Hou et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Data-Driven Discovery of Block-Oriented Nonlinear Models Using Sparse Null-Subspace Methods
- (2020) Junlin Li et al. IEEE Transactions on Cybernetics
- Fixed point iteration based subspace identification of Hammerstein state-space models
- (2019) jie hou et al. IET Control Theory and Applications
- Subspace identification of Hammerstein-type nonlinear systems subject to unknown periodic disturbance
- (2019) Jie Hou et al. INTERNATIONAL JOURNAL OF CONTROL
- A graph subspace approach to system identification based on errors-in-variables system models
- (2019) Hyundeok Kang et al. AUTOMATICA
- A Novel EM Identification Method for Hammerstein Systems With Missing Output Data
- (2019) Dongqing Wang et al. IEEE Transactions on Industrial Informatics
- A bias-correction method for closed-loop identification of Linear Parameter-Varying systems
- (2018) Manas Mejari et al. AUTOMATICA
- Set-membership errors-in-variables identification of MIMO linear systems
- (2018) Vito Cerone et al. AUTOMATICA
- A hierarchical least squares identification algorithm for Hammerstein nonlinear systems using the key term separation
- (2018) Feng Ding et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- The Weighted Nearest Neighbor Estimate for Hammerstein System Identification
- (2018) IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Recursive Identification of Hammerstein Systems: Convergence Rate and Asymptotic Normality
- (2017) Biqiang Mu et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Nonlinear system identification in structural dynamics: 10 more years of progress
- (2017) J.P. Noël et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- On Some Separated Algorithms for Separable Nonlinear Least Squares Problems
- (2017) Min Gan et al. IEEE Transactions on Cybernetics
- Iterative Identification of Hammerstein Parameter Varying Systems With Parameter Uncertainties Based on the Variational Bayesian Approach
- (2017) Junxia Ma et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model
- (2016) Yanjiao Wang et al. AUTOMATICA
- Persistent Excitation by Deterministic Signals for Subspace Parametric Identification of MISO Hammerstein Systems
- (2016) A. Naitali et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Parameter estimation algorithms for multivariable Hammerstein CARMA systems
- (2016) Dongqing Wang et al. INFORMATION SCIENCES
- Errors-in-variables identification in dynamic networks — Consistency results for an instrumental variable approach
- (2015) Arne Dankers et al. AUTOMATICA
- Recursive Identification of Multi-Input Multi-Output Errors-in-Variables Hammerstein Systems
- (2015) Bi-Qiang Mu et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Highly Efficient Identification Methods for Dual-Rate Hammerstein Systems
- (2015) Dong-Qing Wang et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- A bias-corrected estimator for nonlinear systems with output-error type model structures
- (2014) Dario Piga et al. AUTOMATICA
- Dynamic Inductance in Saturated Cores Fault Current Limiters
- (2014) Y. Nikulshin et al. Journal of Superconductivity and Novel Magnetism
- Comparing some classes of bias-compensating least squares methods
- (2013) Torsten Söderström AUTOMATICA
- Hierarchical Least Squares Identification for Linear SISO Systems With Dual-Rate Sampled-Data
- (2011) Jie Ding et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Analysis of the Mutual Inductance of Planar-Lumped Inductive Power Transfer Systems
- (2011) J. Acero et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Partially Coupled Stochastic Gradient Identification Methods for Non-Uniformly Sampled Systems
- (2010) Feng Ding et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- A Unified Framework for Bias Compensation Based Methods in Correlated Noise Case
- (2010) Li-Juan Jia et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- On the Transformer Core Dynamic Behavior During Electromagnetic Transients
- (2010) Afshin Rezaei-Zare et al. IEEE TRANSACTIONS ON POWER DELIVERY
- Revisiting Hammerstein system identification through the Two-Stage Algorithm for bilinear parameter estimation
- (2009) Jiandong Wang et al. AUTOMATICA
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started