What is he best known for?
The fields of study he is best known for:
- Control theory
- Mathematical analysis
- Statistics
The scientist’s investigation covers issues in Control theory, Artificial neural network, Stability, Nonlinear system and Linear matrix inequality.
Control theory is closely attributed to Chaotic in his research.
His Artificial neural network study combines topics from a wide range of disciplines, such as Stability, Estimator, Mathematical optimization and Positive-definite matrix.
Shouming Zhong interconnects Quadratic equation, Type and Linear matrix in the investigation of issues within Mathematical optimization.
His studies deal with areas such as Nonlinear perturbations, Numerical stability, Zero and Stochastic neural network as well as Stability.
His research investigates the connection between Activation function and topics such as Finite time that intersect with problems in Bounded function, Interval and Applied mathematics.
His most cited work include:
- Non-fragile memory filtering of T-S fuzzy delayed neural networks based on switched fuzzy sampled-data control (114 citations)
- Some novel approaches on state estimation of delayed neural networks (77 citations)
- Pinning impulsive synchronization of complex dynamical networks with various time-varying delay sizes (74 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Control theory, Artificial neural network, Exponential stability, Stability and Linear matrix inequality.
His studies in Control theory, Linear matrix, Nonlinear system, Stability and Lyapunov function are all subfields of Control theory research.
Shouming Zhong has included themes like State and Mathematical optimization in his Artificial neural network study.
The study incorporates disciplines such as Matrix and Lyapunov stability in addition to Exponential stability.
Shouming Zhong has researched Stability in several fields, including Numerical stability, Interval, Applied mathematics and Neutral systems.
His biological study spans a wide range of topics, including Discrete time and continuous time, Bounded function and Stability criterion.
He most often published in these fields:
- Control theory (71.79%)
- Artificial neural network (32.69%)
- Exponential stability (20.73%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (71.79%)
- Artificial neural network (32.69%)
- Control theory (13.68%)
In recent papers he was focusing on the following fields of study:
Shouming Zhong spends much of his time researching Control theory, Artificial neural network, Control theory, Fuzzy logic and Stability.
His Fuzzy control system study, which is part of a larger body of work in Control theory, is frequently linked to Data control, bridging the gap between disciplines.
His work carried out in the field of Artificial neural network brings together such families of science as Function, State variable, Lyapunov function and Interval.
His Control theory study combines topics in areas such as Discrete time and continuous time, Actuator and Computer simulation.
The concepts of his Stability study are interwoven with issues in Quadratic function and Applied mathematics.
While the research belongs to areas of Applied mathematics, Shouming Zhong spends his time largely on the problem of Linear matrix inequality, intersecting his research to questions surrounding Stability.
Between 2019 and 2021, his most popular works were:
- Non-fragile memory filtering of T-S fuzzy delayed neural networks based on switched fuzzy sampled-data control (114 citations)
- Hybrid-driven finite-time H∞ sampling synchronization control for coupling memory complex networks with stochastic cyber attacks (53 citations)
- A Switched Operation Approach to Sampled-Data Control Stabilization of Fuzzy Memristive Neural Networks With Time-Varying Delay (26 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Mathematical analysis
- Statistics
His scientific interests lie mostly in Control theory, Artificial neural network, Fuzzy logic, Applied mathematics and Fuzzy control system.
His Control theory study incorporates themes from Sampling and State.
His Artificial neural network research includes elements of Basis, Stability, Lyapunov function, Stability and Function.
His Fuzzy logic research incorporates elements of Upper and lower bounds and Event triggered.
His Applied mathematics research includes themes of Stability criterion, Linear system, Linear matrix inequality, Exponential stability and Inequality.
His research on Fuzzy control system also deals with topics like
- Asynchronous communication which is related to area like Passivity, Network packet, Interval, Segmentation and Topology,
- Control which connect with Consensus, Mathematical optimization, Multi-agent system and Leader following.
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