What is he best known for?
The fields of study he is best known for:
- Control theory
- Mathematical analysis
- Artificial intelligence
Guangdeng Zong mainly investigates Control theory, Control theory, Nonlinear system, Dwell time and Linear system.
His work carried out in the field of Control theory brings together such families of science as State and Fuzzy logic.
The various areas that Guangdeng Zong examines in his Control theory study include Bounded function and Stability theory.
His Nonlinear system research is multidisciplinary, incorporating perspectives in Control system, Control and Observer.
His studies in Control integrate themes in fields like Class and Discrete time and continuous time.
He combines subjects such as Linear programming and Applied mathematics with his study of Linear system.
His most cited work include:
- Finite‐time H ∞ control for discrete‐time switched nonlinear systems with time delay (179 citations)
- Finite‐time H ∞ control for discrete‐time switched nonlinear systems with time delay (179 citations)
- Event-Triggered Finite-Time Control for Networked Switched Linear Systems With Asynchronous Switching (150 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Control theory, Nonlinear system, Control theory, Lyapunov function and Exponential stability.
His work in the fields of Discrete time and continuous time and Full state feedback overlaps with other areas such as Dwell time.
Guangdeng Zong has included themes like Control system, Function, Bounded function and Fuzzy logic in his Nonlinear system study.
As a part of the same scientific study, he usually deals with the Control theory, concentrating on Stability and frequently concerns with System model.
His Lyapunov function research integrates issues from Sliding mode control, Structure, Linear system and Actuator.
His Exponential stability study incorporates themes from Interval, Topology and Stability conditions.
He most often published in these fields:
- Control theory (94.67%)
- Nonlinear system (39.05%)
- Control theory (36.09%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (94.67%)
- Nonlinear system (39.05%)
- Control theory (36.09%)
In recent papers he was focusing on the following fields of study:
Control theory, Nonlinear system, Control theory, Lyapunov function and Artificial neural network are his primary areas of study.
In general Control theory, his work in Sliding mode control and Discrete time and continuous time is often linked to Dwell time linking many areas of study.
His Nonlinear system research incorporates elements of Observer, Optimal control, Quantization and Fuzzy logic.
Guangdeng Zong interconnects Stability, Linear matrix inequality, Linear programming and Control in the investigation of issues within Control theory.
His Lyapunov function study combines topics from a wide range of disciplines, such as Applied mathematics and Robustness.
His Artificial neural network research incorporates themes from Exponential stability, Stability theory, Function and Computer network, Distributed security.
Between 2019 and 2021, his most popular works were:
- Fuzzy Approximation Based Asymptotic Tracking Control for a Class of Uncertain Switched Nonlinear Systems (96 citations)
- $H_\infty$ Refined Antidisturbance Control of Switched LPV Systems With Application to Aero-Engine (63 citations)
- Sliding Mode Control for Nonlinear Stochastic Singular Semi-Markov Jump Systems (51 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Mathematical analysis
- Artificial intelligence
His primary scientific interests are in Control theory, Nonlinear system, Lyapunov function, Control theory and Bounded function.
Guangdeng Zong performs multidisciplinary study on Control theory and Jump in his works.
His work on Backstepping as part of general Nonlinear system study is frequently linked to Dwell time, bridging the gap between disciplines.
As a part of the same scientific family, he mostly works in the field of Backstepping, focusing on Artificial neural network and, on occasion, Tracking error and Quantization.
His studies deal with areas such as Control, Markovian switching and Actuator as well as Control theory.
His Bounded function research focuses on Control system and how it relates to Disturbance, Inverted pendulum, Adaptive system and Differentiator.
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