What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Control theory
His scientific interests lie mostly in Control theory, Nonlinear system, Fuzzy logic, Adaptive control and Control theory.
Backstepping, Control system, Tracking error, Lyapunov function and Adaptive system are among the areas of Control theory where the researcher is concentrating his efforts.
He usually deals with Control system and limits it to topics linked to Bounded function and Stability theory.
His Nonlinear system research integrates issues from Artificial neural network, Multi-agent system and Actuator.
His work carried out in the field of Fuzzy logic brings together such families of science as Nonlinear control and Dead zone.
His biological study deals with issues like Robustness, which deal with fields such as Mathematical optimization and Control engineering.
His most cited work include:
- Fuzzy Adaptive Quantized Control for a Class of Stochastic Nonlinear Uncertain Systems (157 citations)
- Adaptive least squares support vector machines filter for hand tremor canceling in microsurgery (119 citations)
- Adaptive Neural Control for Dual-Arm Coordination of Humanoid Robot With Unknown Nonlinearities in Output Mechanism (116 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Control theory, Nonlinear system, Fuzzy logic, Control theory and Adaptive control.
Tracking error, Backstepping, Fuzzy control system, Actuator and Control system are the core of his Control theory study.
His Fuzzy control system study incorporates themes from Nonlinear control and Mathematical optimization.
His studies deal with areas such as Artificial neural network, Multi-agent system, Bounded function and Adaptive system as well as Nonlinear system.
His Fuzzy logic research includes themes of Robot and Dead zone.
His studies in Adaptive control integrate themes in fields like Robust control and Robustness.
He most often published in these fields:
- Control theory (55.20%)
- Nonlinear system (35.13%)
- Fuzzy logic (22.58%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (55.20%)
- Nonlinear system (35.13%)
- Control theory (17.20%)
In recent papers he was focusing on the following fields of study:
Control theory, Nonlinear system, Control theory, Backstepping and Fuzzy logic are his primary areas of study.
As part of his studies on Control theory, he frequently links adjacent subjects like Multi-agent system.
His Nonlinear system research is multidisciplinary, incorporating perspectives in Artificial neural network, Bounded function, Stability and Adaptive system.
His Control theory research is multidisciplinary, incorporating elements of Quantization, High-voltage direct current, Stator, Variable-frequency transformer and Trajectory.
His studies examine the connections between Fuzzy logic and genetics, as well as such issues in Control, with regards to Lipschitz continuity and Class.
As a part of the same scientific study, Yun Zhang usually deals with the Actuator, concentrating on Adaptive control and frequently concerns with DC motor.
Between 2019 and 2021, his most popular works were:
- Adaptive Neural Control of a Class of Stochastic Nonlinear Uncertain Systems With Guaranteed Transient Performance (22 citations)
- Leader-Following Consensus for a Class of Nonlinear Strick-Feedback Multiagent Systems With State Time-Delays (18 citations)
- Adaptive Fuzzy Output-Feedback Control for Switched Nonlinear Systems With Stable and Unstable Unmodeled Dynamics (12 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Electrical engineering
His primary areas of investigation include Control theory, Nonlinear system, Backstepping, Control theory and Tracking error.
His study on Dead zone is often connected to Software simulation as part of broader study in Control theory.
His research integrates issues of Artificial neural network, Bounded function, Adaptive system and Fuzzy logic in his study of Nonlinear system.
His Backstepping research is multidisciplinary, relying on both Multi-agent system and Actuator.
His work is dedicated to discovering how Actuator, Adaptive control are connected with Control system and other disciplines.
His work investigates the relationship between Control theory and topics such as Lyapunov function that intersect with problems in State observer and Fuzzy control system.
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