What is he best known for?
The fields of study he is best known for:
- Control theory
- Statistics
- Artificial intelligence
His primary areas of study are Control theory, Exponential stability, Nonlinear system, Artificial neural network and Lyapunov function.
As part of his studies on Control theory, Wei Xing Zheng often connects relevant subjects like Stability.
His work deals with themes such as Robust control, Bounding overwatch, Upper and lower bounds, Activation function and Piecewise, which intersect with Exponential stability.
His Nonlinear system study integrates concerns from other disciplines, such as Control system, Control, Class and Synchronization.
His Artificial neural network research includes elements of Stability criterion, Bounded function and Symmetric matrix.
His studies deal with areas such as Cryptosystem, H control, Linear matrix and Key space as well as Lyapunov function.
His most cited work include:
- Brief paper: Second-order consensus in multi-agent dynamical systems with sampled position data (368 citations)
- Dissipativity-Based Sliding Mode Control of Switched Stochastic Systems (320 citations)
- Filtering of Markovian Jump Delay Systems Based on a New Performance Index (297 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Control theory, Algorithm, Nonlinear system, Mathematical optimization and Exponential stability.
Wei Xing Zheng has included themes like Artificial neural network and Stability in his Control theory study.
His Artificial neural network research incorporates themes from Stability and Equilibrium point.
His Algorithm research incorporates themes from White noise, Autoregressive model and Identification.
His research integrates issues of Function, Convergence and Robustness in his study of Mathematical optimization.
His Exponential stability study incorporates themes from Linear matrix inequality and Applied mathematics.
He most often published in these fields:
- Control theory (58.28%)
- Algorithm (19.78%)
- Nonlinear system (17.09%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (58.28%)
- Control theory (9.83%)
- Lyapunov function (10.63%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Control theory, Control theory, Lyapunov function, Nonlinear system and Multi-agent system.
Control theory is often connected to Mode in his work.
His Control theory study integrates concerns from other disciplines, such as Control system, Linear system, Symmetric matrix and Fuzzy logic.
In his research, Numerical stability is intimately related to Exponential stability, which falls under the overarching field of Lyapunov function.
His study explores the link between Nonlinear system and topics such as Applied mathematics that cross with problems in State.
His Multi-agent system research is multidisciplinary, relying on both Mathematical optimization, Network topology, Protocol and Topology.
Between 2018 and 2021, his most popular works were:
- Multiple Lyapunov Functions Analysis Approach for Discrete-Time-Switched Piecewise-Affine Systems Under Dwell-Time Constraints (67 citations)
- Quasi-Synchronization of Discrete-Time Lur’e-Type Switched Systems With Parameter Mismatches and Relaxed PDT Constraints (65 citations)
- Distributed Load Sharing Under False Data Injection Attack in an Inverter-Based Microgrid (63 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Statistics
- Artificial intelligence
His main research concerns Control theory, Lyapunov function, Nonlinear system, Control theory and Multi-agent system.
Control theory is closely attributed to Bounded function in his study.
His work deals with themes such as Discrete time and continuous time, Exponential stability, Consensus, Integrator and Controller design, which intersect with Lyapunov function.
His studies in Exponential stability integrate themes in fields like Stability criterion, Quadratic form, Numerical stability and Piecewise.
The concepts of his Nonlinear system study are interwoven with issues in Fault tolerance, Tracking, Function and Actuator.
His research in Multi-agent system intersects with topics in Graph, State, Network topology, Protocol and Topology.
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