What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Mechanical engineering
Jinhua She mainly focuses on Control theory, Linear matrix inequality, Nonlinear system, Control system and Linear system.
In his study, which falls under the umbrella issue of Control theory, Weighting and Interval is strongly linked to Stability.
The concepts of his Linear matrix inequality study are interwoven with issues in Delay dependent and Stability criterion.
His Nonlinear system research incorporates themes from Artificial neural network and Pattern recognition.
His studies deal with areas such as Electronic speed control, Control engineering, Butterfly valve, Feed forward and Rotational speed as well as Control system.
His Linear system study integrates concerns from other disciplines, such as Lyapunov equation, State and Lyapunov redesign.
His most cited work include:
- Technical Communique: Delay-dependent criteria for robust stability of time-varying delay systems (921 citations)
- Parameter-dependent Lyapunov functional for stability of time-delay systems with polytopic-type uncertainties (679 citations)
- Delay-dependent robust stability criteria for uncertain neutral systems with mixed delays (678 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Control theory, Control system, Control theory, Control engineering and Repetitive control.
His research links Estimator with Control theory.
His Control system research is multidisciplinary, incorporating perspectives in Observer, Lyapunov function, Robustness and Stability.
His Control theory study which covers Stability that intersects with Mathematical optimization.
The Repetitive control study combines topics in areas such as Lyapunov stability and State observer.
His Robust control research extends to Linear matrix inequality, which is thematically connected.
He most often published in these fields:
- Control theory (73.29%)
- Control system (28.07%)
- Control theory (21.25%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (73.29%)
- Control system (28.07%)
- Disturbance (12.67%)
In recent papers he was focusing on the following fields of study:
Control theory, Control system, Disturbance, Estimator and Nonlinear system are his primary areas of study.
His Control theory study frequently links to other fields, such as Stability.
The study incorporates disciplines such as Linear matrix inequality and State in addition to Stability.
The various areas that he examines in his Control system study include Control and Stability conditions.
His study in Disturbance is interdisciplinary in nature, drawing from both Systems design and Convergence.
His Estimator research incorporates elements of Tracking and State observer.
Between 2018 and 2021, his most popular works were:
- Dynamic Emotion Understanding in Human–Robot Interaction Based on Two-Layer Fuzzy SVR-TS Model (20 citations)
- Two-layer fuzzy multiple random forest for speech emotion recognition in human-robot interaction (18 citations)
- Disturbance suppression for quadrotor UAV using sliding-mode-observer-based equivalent-input-disturbance approach (18 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Mechanical engineering
Jinhua She spends much of his time researching Control theory, Disturbance, Control system, Repetitive control and Observer.
His research is interdisciplinary, bridging the disciplines of Control and Control theory.
Jinhua She has included themes like System model, Systems design, Filter and Coordinate system in his Disturbance study.
His Control system research includes themes of Estimator, Control theory, Robustness and Stability conditions.
His Repetitive control research is multidisciplinary, incorporating elements of DC motor, Robotics and Stability criterion.
His work carried out in the field of Observer brings together such families of science as Coupling, Torque and Traction.
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