2004 - IEEE Fellow For contributions to system identification and parameter estimation.
Er-Wei Bai spends much of his time researching Control theory, Nonlinear system, System identification, Estimation theory and Identification. Many of his research projects under Control theory are closely connected to Synchronization and A priori and a posteriori with Synchronization and A priori and a posteriori, tying the diverse disciplines of science together. The concepts of his Nonlinear system study are interwoven with issues in Simulation, Mathematical optimization and Noise.
His study in System identification is interdisciplinary in nature, drawing from both Nonlinear control, Algorithm, Iterative method and Frequency domain. His work deals with themes such as Applied mathematics and White noise, which intersect with Estimation theory. His work on Hammerstein systems as part of general Identification study is frequently linked to Context, therefore connecting diverse disciplines of science.
His primary areas of investigation include Control theory, Nonlinear system, Mathematical optimization, Algorithm and System identification. His Control theory research includes elements of Frequency domain and Noise. His studies deal with areas such as Nonparametric statistics, Feature selection, Nonlinear system identification and Identification as well as Nonlinear system.
His Mathematical optimization research also works with subjects such as
Nonlinear system, Mathematical optimization, Nonparametric statistics, Feature selection and System identification are his primary areas of study. The various areas that Er-Wei Bai examines in his Nonlinear system study include Parameter identification problem and Applied mathematics. His Mathematical optimization research includes themes of Wind power, Computational complexity theory, Estimator, Wind power forecasting and Generalization.
Probability density function is closely connected to Curse of dimensionality in his research, which is encompassed under the umbrella topic of Feature selection. System identification is a subfield of Identification that Er-Wei Bai investigates. His Algorithm study combines topics in areas such as Control theory and Expectation–maximization algorithm.
Er-Wei Bai mostly deals with Mathematical optimization, Algorithm, Artificial neural network, Wind power forecasting and Wind power. His Mathematical optimization research is multidisciplinary, incorporating elements of The Intersect, Piecewise linear function, Finite set, Estimator and Nonlinear system. Er-Wei Bai has researched Estimator in several fields, including Tracking, Applied mathematics and Noise.
He interconnects Identification, Compensation, Consistent estimator and Non-linear least squares in the investigation of issues within Nonlinear system. His research in Simulated annealing and Estimation theory are components of Algorithm. The study incorporates disciplines such as Probabilistic logic, Probabilistic forecasting and Gaussian process in addition to Wind power forecasting.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
An optimal two-stage identification algorithm for Hammerstein-Wiener nonlinear systems
Block Oriented Nonlinear System Identification
Fouad Giri;Er-Wei Bai.
Synchronization of two Lorenz systems using active control
Er-Wei Bai;Karl E. Lonngren.
Chaos Solitons & Fractals (1997)
A blind approach to the Hammerstein-Wiener model identification
Sequential synchronization of two Lorenz systems using active control
Er-Wei Bai;Karl E Lonngren.
Chaos Solitons & Fractals (2000)
Probabilistic robustness analysis: explicit bounds for the minimum number of samples
R. Tempo;E. W. Bai;F. Dabbene.
Systems & Control Letters (1997)
Brief Identification of linear systems with hard input nonlinearities of known structure
Convergence of the iterative Hammerstein system identification algorithm
Er-Wei Bai;Duan Li.
conference on decision and control (2004)
A blind approach to Hammerstein model identification
Er-Wei Bai;Minyue Fu.
IEEE Transactions on Signal Processing (2002)
Iterative Identification of Hammerstein Systems
Yun Liu;Er-Wei Bai.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: