What is he best known for?
The fields of study he is best known for:
- Statistics
- Quantum mechanics
- Algorithm
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 most cited work include:
- An optimal two-stage identification algorithm for Hammerstein-Wiener nonlinear systems (502 citations)
- Block Oriented Nonlinear System Identification (337 citations)
- Synchronization of two Lorenz systems using active control (294 citations)
What are the main themes of his work throughout his whole career to date?
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
- Applied mathematics together with Upper and lower bounds,
- Estimation theory which connect with Bounded error.
While the research belongs to areas of Algorithm, he spends his time largely on the problem of Markov chain, intersecting his research to questions surrounding Theoretical computer science.
His System identification research is multidisciplinary, incorporating perspectives in Infinite impulse response, Linear system, Identifiability and White noise.
He most often published in these fields:
- Control theory (32.98%)
- Nonlinear system (31.93%)
- Mathematical optimization (30.88%)
What were the highlights of his more recent work (between 2014-2021)?
- Nonlinear system (31.93%)
- Mathematical optimization (30.88%)
- Nonparametric statistics (9.82%)
In recent papers he was focusing on the following fields of study:
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.
Between 2014 and 2021, his most popular works were:
- Hybrid Probabilistic Wind Power Forecasting Using Temporally Local Gaussian Process (80 citations)
- Developing a whole building cooling energy forecasting model for on-line operation optimization using proactive system identification (58 citations)
- Time series wind power forecasting based on variant Gaussian Process and TLBO (33 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Quantum mechanics
- Artificial intelligence
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.
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