Er-Wei Bai

Orcid: 0000-0003-0750-436X

According to our database1, Er-Wei Bai authored at least 133 papers between 1993 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 2004, "For contributions to system identification and parameter estimation.".

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
Tilted Least-Squares Parameter Estimation of Linear Regression Models in the Presence of Outliers.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Identification of Sparse Volterra Systems: An Almost Orthogonal Matching Pursuit Approach.
IEEE Trans. Autom. Control., 2022

Stochastic Constrained DRO with a Complexity Independent of Sample Size.
CoRR, 2022

Persistence of excitation for identifying switched linear systems.
Autom., 2022

2021
Variable Selection According to Goodness of Fit in Nonparametric Nonlinear System Identification.
IEEE Trans. Autom. Control., 2021

Identification of Switched Linear Systems: Persistence of Excitation and Numerical Algorithms.
CoRR, 2021

Variable selection based on squared derivative averages.
Autom., 2021

2020
Sparse system identification for stochastic systems with general observation sequences.
Autom., 2020

2019
Consistent Variable Selection for a Nonparametric Nonlinear System by Inverse and Contour Regressions.
IEEE Trans. Autom. Control., 2019

Sparse System Identification for Stochastic Feedback Control Systems.
CoRR, 2019

Ranking the importance of variables in nonlinear system identification.
Autom., 2019

Variable selection of high-dimensional non-parametric nonlinear systems by derivative averaging to avoid the curse of dimensionality.
Autom., 2019

Variable Selection for a Nonparametric Nonlinear System by Directional Regression.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Source Localization by a Binary Sensor Network in the Presence of Imperfection, Noise, and Outliers.
IEEE Trans. Autom. Control., 2018

Local variable selection of nonlinear nonparametric systems by first order expansion.
Syst. Control. Lett., 2018

Ranking Variables Based on Goodness of Fits in Nonlinear Nonparametric System Identification.
Proceedings of the 26th Mediterranean Conference on Control and Automation, 2018

2017
Variable Selection and Identification of High-Dimensional Nonparametric Additive Nonlinear Systems.
IEEE Trans. Autom. Control., 2017

A globally consistent nonlinear least squares estimator for identification of nonlinear rational systems.
Autom., 2017

Robust target localization in the absence of signal propagation models.
Autom., 2017

Variable selection of high-dimensional non-parametric nonlinear systems: A way to avoid the curse of dimensionality.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Outliers in system identification.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Time series wind power forecasting based on variant Gaussian Process and TLBO.
Neurocomputing, 2016

Consistent variable selection for high-dimensional nonparametric additive nonlinear systems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Strong consistency of kernel-based local variable selection for nonlinear nonparametric systems.
Proceedings of the Australian Control Conference, AuCC 2016, Newcastle, 2016

Parameter convergence in source localization.
Proceedings of the 2016 IEEE Conference on Control Applications, 2016

2015
Two-Stage Orthogonal Least Squares Methods for Neural Network Construction.
IEEE Trans. Neural Networks Learn. Syst., 2015

A Markov Chain Monte Carlo Approach to Nonlinear Parametric System Identification.
IEEE Trans. Autom. Control., 2015

Kernel-based local order estimation of nonlinear nonparametric systems.
Autom., 2015

Identifiability and convergence analysis of the MINLIP estimator.
Autom., 2015

Robust tracking of piecewise linear trajectories with binary sensor networks.
Autom., 2015

Some theoretical limits on nuclear source localization and tracking.
Proceedings of the 2015 Information Theory and Applications Workshop, 2015

A bayesian approach to multiple target localization.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
System identification in the presence of outliers and random noises: A compressed sensing approach.
Autom., 2014

Kernel based approaches to local nonlinear non-parametric variable selection.
Autom., 2014

Variable selection by RIVAL.
Proceedings of the 22nd Mediterranean Conference on Control and Automation, 2014

A distributed control law for optimum sensor placement for source localization.
Proceedings of the 2014 International Conference on Advances in Computing, 2014

The maximum likelihood estimate for radiation source localization: Initializing an iterative search.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Source location estimation for possibly unknown propagation models.
Proceedings of the American Control Conference, 2014

2013
A Recursive Local Linear Estimator for Identification of Nonlinear ARX Systems: Asymptotical Convergence and Applications.
IEEE Trans. Autom. Control., 2013

A New Extension of Newton Algorithm for Nonlinear System Modelling Using RBF Neural Networks.
IEEE Trans. Autom. Control., 2013

On the Gradient Descent Localization of Radioactive Sources.
IEEE Signal Process. Lett., 2013

Toeplitz matrix based sparse error correction in system identification: Outliers and random noises.
Proceedings of the IEEE International Conference on Acoustics, 2013

A novel LOO based two-stage method for automatic model identification of a class of nonlinear dynamic systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Local variable selection and dimension determination of nonlinear non-parametric systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

A local information criterion for order identification of nonlinear ARX systems.
Proceedings of the 9th Asian Control Conference, 2013

2012
A Web Aggregation Approach for Distributed Randomized PageRank Algorithms.
IEEE Trans. Autom. Control., 2012

How Nonlinear Parametric Wiener System Identification is Under Gaussian Inputs?
IEEE Trans. Autom. Control., 2012

PageRank computation via a distributed randomized approach with lossy communication.
Syst. Control. Lett., 2012

Toeplitz Matrix Based Sparse Error Correction in System Identification
CoRR, 2012

Variable selection via RIVAL (removing irrelevant variables amidst Lasso iterations) and its application to nuclear material detection.
Autom., 2012

SUPIR: Surface Uncertainty-Penalized, Non-rigid Image Registration for Pelvic CT Imaging.
Proceedings of the Biomedical Image Registration - 5th International Workshop, 2012

2011
On the Long-term Health Care Crisis. A Possible Eradication Scenario
CoRR, 2011

Making parametric Hammerstein system identification a linear problem.
Autom., 2011

A new approach for aggregated PageRank computation via distributed randomized algorithms.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
An Interactive Term Approach to Non-Parametric FIR Nonlinear System Identification.
IEEE Trans. Autom. Control., 2010

Non-Parametric Nonlinear System Identification: An Asymptotic Minimum Mean Squared Error Estimator.
IEEE Trans. Autom. Control., 2010

Fatigue and non-fatigue mathematical muscle models during functional electrical stimulation of paralyzed muscle.
Biomed. Signal Process. Control., 2010

Representation and identification of non-parametric nonlinear systems of short term memory and low degree of interaction.
Autom., 2010

Convergence of the iterative algorithm for a general Hammerstein system identification.
Autom., 2010

Distributed randomized pagerank algorithms based on web aggregation over unreliable channels.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Adaptive bolus chasing Computed Tomography Angiography: Modeling, identification, control and experimental results.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Is Wiener/Hammerstein system identification really nonlinear?
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Two-Stage Mixed Discrete-Continuous Identification of Radial Basis Function (RBF) Neural Models for Nonlinear Systems.
IEEE Trans. Circuits Syst. I Regul. Pap., 2009

Identification of non-parametric FIR non-linear systems with low-degree interactive terms.
IMA J. Math. Control. Inf., 2009

Modelling and parameter estimation of a cell system.
Int. J. Model. Identif. Control., 2009

Adaptive bolus-chasing computed tomography angiography in the cases of symmetric and asymmetric arterial flows in peripheral arteries.
Biomed. Signal Process. Control., 2009

Towards identification of Wiener systems with the least amount of a priori information: IIR cases.
Autom., 2009

Identification of a modified Wiener-Hammerstein system and its application in electrically stimulated paralyzed skeletal muscle modeling.
Autom., 2009

Distributed randomized PageRank computation based on web aggregation.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
An Adaptive Optimal Control Design for a Bolus Chasing Computed Tomography Angiography.
IEEE Trans. Control. Syst. Technol., 2008

Non-Parametric Nonlinear System Identification: A Data-Driven Orthogonal Basis Function Approach.
IEEE Trans. Autom. Control., 2008

Adaptive bolus chasing computed tomography angiography: Control scheme and experimental results.
Biomed. Signal Process. Control., 2008

Towards identification of Wiener systems with the least amount of a priori information on the nonlinearity.
Autom., 2008

Identification of an additive nonlinear system and its applications in generalized Hammerstein models.
Autom., 2008

Author's reply.
Autom., 2008

Application of Wiener-Hammerstein system identification in electrically stimulated paralyzed skeletal muscle modeling.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
Identification of IIR Nonlinear Systems Without Prior Structural Information.
IEEE Trans. Autom. Control., 2007

Recursive Direct Weight Optimization in Nonlinear System Identification: A Minimal Probability Approach.
IEEE Trans. Autom. Control., 2007

A comparative study on interpolation methods for controlled cardiac CT.
Int. J. Imaging Syst. Technol., 2007

Estimation of nonlinear systems without <i>a priori</i> structural information and its application in Hammerstein model identification with dynamic nonlinearities.
IMA J. Math. Control. Inf., 2007

Bolus chasing computed tomography angiography using local maximum tracking method.
Int. J. Model. Identif. Control., 2007

A Fast CT Reconstruction Scheme for a General Multi-Core PC.
Int. J. Biomed. Imaging, 2007

Iterative identification of Hammerstein systems.
Autom., 2007

Separable inputs for the identification of block-oriented nonlinear systems.
Proceedings of the American Control Conference, 2007

2006
Least squares solutions of bilinear equations.
Syst. Control. Lett., 2006

Controlled Cardiac Computed Tomography.
Int. J. Biomed. Imaging, 2006

A two-stage algorithm for identification of nonlinear dynamic systems.
Autom., 2006

A Minimal Probability Approach in Nonparametric Nonlinear System Identification.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

Iterative identification of Hammerstein systems with piecewise-linear nonlinearities.
Proceedings of the American Control Conference, 2006

2005
Blind source separation/channel equalization of nonlinear channels with binary inputs.
IEEE Trans. Signal Process., 2005

Discussion on: "Subspace-based Identification Algorithms for Hammerstein and Wiener Models".
Eur. J. Control, 2005

Identification of nonlinear additive FIR systems.
Autom., 2005

The Size of the Membership Set in the Presence of Disturbance and Parameter Uncertainty.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

On the Least Squares Solutions of a System of Bilinear Equations.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

Identification of an Additive NFIR System and its applications in generalized Hammerstein models.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004
Convergence of the iterative Hammerstein system identification algorithm.
IEEE Trans. Autom. Control., 2004

Capacitors and the method of moments.
Comput. Electr. Eng., 2004

Decoupling the linear and nonlinear parts in Hammerstein model identification.
Autom., 2004

2003
Blind source separation of signals with known alphabets using ε-approximation algorithms.
IEEE Trans. Signal Process., 2003

Frequency domain identification of Hammerstein models.
IEEE Trans. Autom. Control., 2003

The spherical capacitor: a vehicle to introduce numerical methods.
Comput. Electr. Eng., 2003

A random least-trimmed-squares identification algorithm.
Autom., 2003

Frequency domain identification of Wiener models.
Autom., 2003

2002
A blind approach to Hammerstein model identification.
IEEE Trans. Signal Process., 2002

Optimization with few violated constraints for linear bounded error parameter estimation.
IEEE Trans. Autom. Control., 2002

An Optimization Based Robust Identification Algorithm in the Presence of Outliers.
J. Glob. Optim., 2002

On the capacitance of a cube.
Comput. Electr. Eng., 2002

Limiting zero distribution of sampled systems.
Autom., 2002

Blind identifiability of IIR systems.
Autom., 2002

A blind approach to the Hammerstein-Wiener model identification.
Autom., 2002

Identification of linear systems with hard input nonlinearities of known structure.
Autom., 2002

Infinite and finite sample properties of set membership identification in a stochastic setting.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

2001
Blind channel equalization and ϵ-approximation algorithms.
IEEE Trans. Signal Process., 2001

Blind decision feedback equalization of time-varying channels with DPSK inputs.
IEEE Trans. Signal Process., 2001

Zero distribution of sampled systems with non-rational transfer functions.
Proceedings of the American Control Conference, 2001

2000
Zero-forcing equalizability of FIR and IIR multichannel systems with and without perfect measurements.
IEEE Trans. Commun., 2000

Convergence results of the analytic center estimator.
IEEE Trans. Autom. Control., 2000

Variable gain parameter estimation algorithms for fast tracking and smooth steady state.
Autom., 2000

Zeros of sampled data systems represented by FIR models.
Autom., 2000

Zero-forcing equalizability of FIR and IIR multi-channel systems with and without perfect measurements.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2000

1999
Blind system identification and channel equalization of IIR systems without statistical information.
IEEE Trans. Signal Process., 1999

Bounded error parameter estimation: a sequential analytic center approach.
IEEE Trans. Autom. Control., 1999

Constrained logarithmic least squares in parameter estimation.
IEEE Trans. Autom. Control., 1999

1998
Worst-case properties of the uniform distribution and randomized algorithms for robustness analysis.
Math. Control. Signals Syst., 1998

Convergence Properties of the Membership Set.
Autom., 1998

An optimal two-stage identification algorithm for Hammerstein-Wiener nonlinear systems.
Autom., 1998

Analytic center approach to parameter estimation: convergence analysis.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1996
A Cramer-Rao-like error bound in deterministic parameter estimation.
IEEE Trans. Autom. Control., 1996

Bounded-error parameter estimation: Noise models and recursive algorithms.
Autom., 1996

1995
Least squares type algorithms for identification in the presence of modeling uncertainty.
IEEE Trans. Autom. Control., 1995

1994
Robust system identification with noisy experimental data: Projection operator and linear algorithms.
Autom., 1994

Stochastic and worst case system identification are not necessarily incompatible.
Autom., 1994

1993
A linear interpolatory algorithm for robust system identification with corrupted measurement data.
IEEE Trans. Autom. Control., 1993


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