What is he best known for?
The fields of study he is best known for:
- Control theory
- Mathematical analysis
- Artificial intelligence
His main research concerns Control theory, Control theory, Fuzzy control system, Bounded function and Nonlinear system.
His research investigates the connection between Control theory and topics such as Artificial neural network that intersect with issues in Interval.
Jianwei Xia focuses mostly in the field of Fuzzy control system, narrowing it down to matters related to Backstepping and, in some cases, Control system.
His Fuzzy logic research extends to the thematically linked field of Nonlinear system.
His Lyapunov function study combines topics in areas such as Markovian jump and Adaptive system.
His study in Linear matrix is interdisciplinary in nature, drawing from both Stability, State vector, Applied mathematics and Stability conditions.
His most cited work include:
- Non-fragile finite-time extended dissipative control for a class of uncertain discrete time switched linear systems (96 citations)
- Improved delay-dependent stability criteria for T–S fuzzy systems with time-varying delay (95 citations)
- Improved delay-dependent stability criteria for T–S fuzzy systems with time-varying delay (95 citations)
What are the main themes of his work throughout his whole career to date?
Jianwei Xia mainly investigates Control theory, Control theory, Nonlinear system, Artificial neural network and Fuzzy logic.
His Control theory research integrates issues from State and Interval.
Jianwei Xia works mostly in the field of Interval, limiting it down to topics relating to Matrix and, in certain cases, Mathematical optimization and Upper and lower bounds.
His research in Control theory intersects with topics in Control system, Bounded function and Actuator.
His Artificial neural network research also works with subjects such as
- Computational intelligence which intersects with area such as Complex system,
- Lyapunov stability, which have a strong connection to Stability theory.
His Applied mathematics research is multidisciplinary, incorporating perspectives in Markovian jump and Exponential stability.
He most often published in these fields:
- Control theory (84.00%)
- Control theory (33.71%)
- Nonlinear system (24.00%)
What were the highlights of his more recent work (between 2020-2021)?
- Control theory (84.00%)
- Control theory (33.71%)
- Fuzzy logic (22.29%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Control theory, Control theory, Fuzzy logic, Nonlinear system and Fuzzy control system.
Control theory and Artificial neural network are commonly linked in his work.
As part of one scientific family, Jianwei Xia deals mainly with the area of Control theory, narrowing it down to issues related to the Lyapunov function, and often Hidden Markov model.
His Nonlinear system research is multidisciplinary, relying on both Singular perturbation and Interval.
His studies deal with areas such as Event triggered and Adaptive system as well as Fuzzy control system.
His Backstepping research incorporates elements of Tracking error and Bounded function.
Between 2020 and 2021, his most popular works were:
- Command Filter-Based Adaptive Fuzzy Control for Nonlinear Systems With Unknown Control Directions (42 citations)
- Asynchronous Event-Triggered Sliding Mode Control for Semi-Markov Jump Systems Within a Finite-Time Interval (12 citations)
- HMM-Based Asynchronous H ∞ Filtering for Fuzzy Singular Markovian Switching Systems With Retarded Time-Varying Delays (12 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Mathematical analysis
The scientist’s investigation covers issues in Control theory, Control theory, Fuzzy logic, Fuzzy control system and Nonlinear system.
He has included themes like Mechatronics and Constant in his Control theory study.
In the field of Control theory, his study on Sliding mode control and Lyapunov stability overlaps with subjects such as Convex optimization and Electric power system.
The various areas that he examines in his Fuzzy logic study include Function, Optimization problem, Domain and Corollary.
His Fuzzy control system study which covers Adaptive system that intersects with Control system, State variable, Tracking error and Bounded function.
His Nonlinear system research is multidisciplinary, relying on both Singular perturbation and Interval.
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.
