What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Algebra
His primary areas of investigation include Control theory, Fault, Observer, Fault tolerance and Fault detection and isolation.
His works in Linear matrix inequality, Nonlinear system, State vector and Nonlinear control are all subjects of inquiry into Control theory.
His Observer research incorporates elements of Disturbance and System identification.
His Fault tolerance research is multidisciplinary, incorporating elements of Control engineering, Robust control and Fault coverage.
His Fault detection and isolation study combines topics from a wide range of disciplines, such as Proportional control, Multivariable calculus, Machine learning and Degrees of freedom.
The Reliability engineering study combines topics in areas such as Diagnosis methods, Support vector machine, Kalman filter, Feature extraction and Knowledge-based systems.
His most cited work include:
- A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches (1091 citations)
- A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part II: Fault Diagnosis With Knowledge-Based and Hybrid/Active Approaches (427 citations)
- Brief paper: Actuator fault robust estimation and fault-tolerant control for a class of nonlinear descriptor systems (319 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Control theory, Observer, Fault, Fault detection and isolation and Control engineering.
His research in the fields of State observer overlaps with other disciplines such as Bounded function.
His biological study spans a wide range of topics, including Stability, Fault tolerance, Fuzzy logic, Signal and Principal component analysis.
His Fault tolerance research incorporates themes from Control system, Control, Reinforcement learning and Stuck-at fault.
His Fault detection and isolation study combines topics in areas such as Proportional control, Computation, Residual and Robust control.
In general Control engineering, his work in Observer based is often linked to Drivetrain linking many areas of study.
He most often published in these fields:
- Control theory (63.98%)
- Observer (29.81%)
- Fault (25.47%)
What were the highlights of his more recent work (between 2018-2021)?
- Fault (25.47%)
- Control theory (63.98%)
- Turbine (14.91%)
In recent papers he was focusing on the following fields of study:
Zhiwei Gao mainly investigates Fault, Control theory, Turbine, Wind power and Control.
His Fault research incorporates elements of Stability, Principal component analysis and Condition monitoring.
In Control theory, Zhiwei Gao works on issues like Fault tolerance, which are connected to Induction motor.
In his study, Robustness is strongly linked to Actuator, which falls under the umbrella field of Turbine.
His Wind power study combines topics from a wide range of disciplines, such as Artificial neural network, Reliability engineering and Fault detection and isolation.
His Control theory study combines topics in areas such as Observer and Lyapunov function.
Between 2018 and 2021, his most popular works were:
- Observer-based fault estimation and tolerant control for stochastic Takagi–Sugeno fuzzy systems with Brownian parameter perturbations (19 citations)
- Robust Neural Network Fault Estimation Approach for Nonlinear Dynamic Systems With Applications to Wind Turbine Systems (19 citations)
- Advances in Modelling, Monitoring, and Control for Complex Industrial Systems (16 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Algebra
- Artificial intelligence
His main research concerns Turbine, Wind power, Actuator, Fault and Benchmark.
His Actuator study results in a more complete grasp of Control theory.
His work on Control system, Sliding mode control and System dynamics as part of general Control theory research is frequently linked to Offset, bridging the gap between disciplines.
His research integrates issues of Reliability engineering, Principal component analysis, Dimensionality reduction and Feature extraction in his study of Fault.
His Benchmark research is multidisciplinary, incorporating elements of Control engineering and Pattern recognition.
His Artificial intelligence research is multidisciplinary, relying on both Reduction, Computer engineering and Fault detection and isolation.
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