What is he best known for?
The fields of study he is best known for:
- Control theory
- Mathematical analysis
- Artificial intelligence
His primary areas of study are Control theory, Linear matrix inequality, Exponential stability, Mathematical optimization and Robust control.
His Control theory research includes themes of Artificial neural network and State.
His research on Linear matrix inequality also deals with topics like
- Stability together with Lyapunov function and Markovian jump,
- Stability conditions, which have a strong connection to Type.
His study on Exponential stability also encompasses disciplines like
- Cellular neural network most often made with reference to Equilibrium point,
- Applied mathematics which connect with Linear matrix.
His Mathematical optimization study incorporates themes from Convex function and Convex optimization.
As part of one scientific family, Shengyuan Xu deals mainly with the area of Robust control, narrowing it down to issues related to the Upper and lower bounds, and often Model transformation.
His most cited work include:
- Robust Control and Filtering of Singular Systems (530 citations)
- Improved delay-dependent stability criteria for time-delay systems (485 citations)
- Delay-Dependent $H_{\infty }$ Control and Filtering for Uncertain Markovian Jump Systems With Time-Varying Delays (474 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Control theory, Nonlinear system, Linear matrix inequality, Control theory and Exponential stability.
His biological study spans a wide range of topics, including State and Bounded function.
His research in Nonlinear system intersects with topics in Observer and Multi-agent system.
His studies deal with areas such as Stability, Delay dependent, Full state feedback and H-infinity methods in control theory as well as Linear matrix inequality.
His studies in Control theory integrate themes in fields like Control system, Control and Fuzzy logic.
His Exponential stability research is multidisciplinary, relying on both Equilibrium point, Artificial neural network, Stability theory, Exponential function and Applied mathematics.
He most often published in these fields:
- Control theory (81.91%)
- Nonlinear system (25.45%)
- Linear matrix inequality (22.47%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (81.91%)
- Nonlinear system (25.45%)
- Control theory (22.07%)
In recent papers he was focusing on the following fields of study:
His main research concerns Control theory, Nonlinear system, Control theory, Applied mathematics and Lyapunov function.
While the research belongs to areas of Control theory, he spends his time largely on the problem of Bounded function, intersecting his research to questions surrounding Function.
The Backstepping, Exponential stability and Finite time control research Shengyuan Xu does as part of his general Nonlinear system study is frequently linked to other disciplines of science, such as Control, therefore creating a link between diverse domains of science.
His research investigates the link between Control theory and topics such as Actuator that cross with problems in Disturbance and Control.
His Applied mathematics research focuses on subjects like Hidden Markov model, which are linked to Algorithm.
His Lyapunov function study combines topics from a wide range of disciplines, such as Sliding mode control, Integrator and Settling time.
Between 2018 and 2021, his most popular works were:
- Output-Feedback Control for Stochastic Nonlinear Systems Subject to Input Saturation and Time-Varying Delay (68 citations)
- Globally adaptive control for stochastic nonlinear time-delay systems with perturbations and its application (36 citations)
- Stability Analysis for Neural Networks With Time-Varying Delay via Improved Techniques (35 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Mathematical analysis
- Artificial intelligence
Shengyuan Xu focuses on Control theory, Nonlinear system, Control theory, Applied mathematics and Stability.
His Control theory study frequently links to other fields, such as Bounded function.
Shengyuan Xu combines subjects such as Integrator and Differentiator with his study of Nonlinear system.
The study incorporates disciplines such as Control system, Control, Hidden Markov model and Fuzzy logic in addition to Control theory.
His work carried out in the field of Applied mathematics brings together such families of science as Zero, Exponential stability, Interval, Intersection and Neutral systems.
His Stability research is multidisciplinary, relying on both Artificial neural network and Computation.
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