What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Topology
Hong-Bing Zeng mainly focuses on Control theory, Stability, Artificial neural network, Linear matrix and Interval.
His research combines Applied mathematics and Control theory.
His biological study spans a wide range of topics, including Mathematical optimization and Bounding overwatch.
His research on Artificial neural network often connects related areas such as Upper and lower bounds.
His research in Linear matrix intersects with topics in Passivity, State vector, Fuzzy control system and Stability conditions.
His Interval research incorporates themes from Stability criterion and Activation function.
His most cited work include:
- Free-Matrix-Based Integral Inequality for Stability Analysis of Systems With Time-Varying Delay (463 citations)
- New results on stability analysis for systems with discrete distributed delay (211 citations)
- Stability analysis of systems with time-varying delay via relaxed integral inequalities (193 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, Stability, Linear system and Derivative.
His Control theory study frequently intersects with other fields, such as Interval.
In general Artificial neural network study, his work on Activation function often relates to the realm of Symmetric matrix and Set, thereby connecting several areas of interest.
His Stability research includes elements of Stability criterion, Mathematical optimization and Stability conditions.
Hong-Bing Zeng interconnects Upper and lower bounds and Bounding overwatch in the investigation of issues within Mathematical optimization.
His Linear system research includes themes of Complex system and Lyapunov krasovskii.
He most often published in these fields:
- Control theory (95.31%)
- Artificial neural network (50.00%)
- Stability (37.50%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (95.31%)
- Applied mathematics (17.19%)
- Artificial neural network (50.00%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Control theory, Applied mathematics, Artificial neural network, Linear system and Stability conditions.
His work on Sampled data systems, Linear matrix inequality and Stability as part of general Control theory research is frequently linked to Reciprocal and Numerical stability, bridging the gap between disciplines.
His studies deal with areas such as Time delayed and Model reconstruction as well as Applied mathematics.
His Artificial neural network study incorporates themes from Lyapunov functional, Passivity and Robustness.
His Linear system research is multidisciplinary, relying on both Complex system and Lyapunov krasovskii.
His study in Stability conditions is interdisciplinary in nature, drawing from both Decision variables, Stability criterion and Function.
Between 2019 and 2021, his most popular works were:
- New insights on stability of sampled-data systems with time-delay (16 citations)
- Dissipativity Analysis for Neural Networks With Time-Varying Delays via a Delay-Product-Type Lyapunov Functional Approach (9 citations)
- Event-triggered H∞ filter design for sampled-data systems with quantization (4 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Topology
Hong-Bing Zeng mainly investigates Control theory, Sampled data systems, Rate of convergence, Interval and Linear matrix inequality.
The Linear matrix inequality study combines topics in areas such as Event triggered and Interval arithmetic.
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