What is he best known for?
The fields of study he is best known for:
- Control theory
- Gene
- Artificial intelligence
His primary areas of investigation include Control theory, Nonlinear system, Fuzzy logic, Fuzzy control system and Robust control.
His research is interdisciplinary, bridging the disciplines of Filter and Control theory.
His Nonlinear control study in the realm of Nonlinear system interacts with subjects such as Convex optimization.
His research integrates issues of Network traffic control and Network congestion in his study of Fuzzy logic.
His Fuzzy control system research includes elements of Mathematical optimization, Adaptive control and Fuzzy clustering.
His Robust control research is multidisciplinary, incorporating elements of Smith predictor, Signal-to-interference-plus-noise ratio, Optimization problem and Integrator.
His most cited work include:
- H/sup /spl infin// tracking design of uncertain nonlinear SISO systems: adaptive fuzzy approach (671 citations)
- Fuzzy tracking control design for nonlinear dynamic systems via T-S fuzzy model (514 citations)
- Mixed H/sub 2//H/sub /spl infin// fuzzy output feedback control design for nonlinear dynamic systems: an LMI approach (429 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Control theory, Nonlinear system, Mathematical optimization, Fuzzy logic and Fuzzy control system.
His studies in Robust control, Robustness, Control theory, Adaptive control and Linear matrix inequality are all subfields of Control theory research.
His work focuses on many connections between Nonlinear system and other disciplines, such as Stochastic process, that overlap with his field of interest in Gene regulatory network.
His Mathematical optimization research incorporates themes from Algorithm and Linear system.
Adaptive neuro fuzzy inference system is the focus of his Fuzzy logic research.
His studies link Fuzzy number with Fuzzy control system.
He most often published in these fields:
- Control theory (55.91%)
- Nonlinear system (28.64%)
- Mathematical optimization (18.18%)
What were the highlights of his more recent work (between 2013-2021)?
- Nonlinear system (28.64%)
- Systems biology (13.18%)
- Control theory (55.91%)
In recent papers he was focusing on the following fields of study:
Bor-Sen Chen spends much of his time researching Nonlinear system, Systems biology, Control theory, Computational biology and Fuzzy logic.
His Nonlinear system study combines topics from a wide range of disciplines, such as Fuzzy control system, Stochastic process, Mathematical optimization, Applied mathematics and Robustness.
His Fuzzy control system study incorporates themes from Observer and Linear matrix inequality.
His study in Systems biology is interdisciplinary in nature, drawing from both Microarray analysis techniques and Zebrafish.
His Control theory study combines topics in areas such as Poisson distribution and Tracking.
His work carried out in the field of Fuzzy logic brings together such families of science as State-space representation, Estimator and Partial derivative.
Between 2013 and 2021, his most popular works were:
- LaSalle-Type Theorem and Its Applications to Infinite Horizon Optimal Control of Discrete-Time Nonlinear Stochastic Systems (55 citations)
- Some Remarks on General Nonlinear Stochastic $H_{\infty }$ Control With State, Control, and Disturbance-Dependent Noise (34 citations)
- Robust stabilization design of nonlinear stochastic partial differential systems: Fuzzy approach (26 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Gene
- Artificial intelligence
Bor-Sen Chen mostly deals with Nonlinear system, Control theory, Systems biology, Fuzzy logic and Applied mathematics.
He interconnects Infinite horizon, Stochastic process and Mathematical optimization in the investigation of issues within Nonlinear system.
His work on Robustness, Fuzzy control system and Stochastic control as part of general Control theory study is frequently linked to Quantum relative entropy, therefore connecting diverse disciplines of science.
Bor-Sen Chen combines subjects such as Sorting, Tracking, Tracking error and Linear matrix inequality with his study of Fuzzy control system.
His research in Systems biology intersects with topics in Microarray analysis techniques, microRNA and Gene regulatory network.
His Fuzzy logic research integrates issues from State-space representation, Estimator and Partial derivative.
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.
