What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Control engineering
His primary areas of investigation include Fault detection and isolation, Control theory, Control engineering, Residual and Robustness.
His Fault detection and isolation research is multidisciplinary, incorporating elements of Observer, Kalman filter, Reliability engineering and Artificial neural network.
The Control theory study combines topics in areas such as Turbine and Singular value decomposition.
His Control engineering study integrates concerns from other disciplines, such as Fault tolerance, Dynamical systems theory, Fuzzy logic and System identification.
His work in Residual tackles topics such as Multi-objective optimization which are related to areas like Observer and Genetic algorithm.
His Robustness research includes themes of Observer based and Parity space.
His most cited work include:
- Robust Model-Based Fault Diagnosis for Dynamic Systems (2889 citations)
- Sliding mode observers for fault detection and isolation (1021 citations)
- Issues of Fault Diagnosis for Dynamic Systems (991 citations)
What are the main themes of his work throughout his whole career to date?
Control theory, Fault detection and isolation, Control engineering, Robustness and Fault tolerance are his primary areas of study.
His study involves Actuator, Nonlinear system, Control system, Observer and Robust control, a branch of Control theory.
Ron J. Patton works mostly in the field of Fault detection and isolation, limiting it down to topics relating to Artificial neural network and, in certain cases, Classifier.
The various areas that Ron J. Patton examines in his Control engineering study include Turbine, Fuzzy logic and Benchmark.
His Robustness research is multidisciplinary, relying on both Adaptive control, Multivariable calculus, State observer and Parity space.
His Fault tolerance research is multidisciplinary, incorporating perspectives in Linear matrix inequality, Control reconfiguration and Control.
He most often published in these fields:
- Control theory (64.33%)
- Fault detection and isolation (37.92%)
- Control engineering (36.80%)
What were the highlights of his more recent work (between 2013-2021)?
- Control theory (64.33%)
- Fault tolerance (20.51%)
- Actuator (16.29%)
In recent papers he was focusing on the following fields of study:
Ron J. Patton mostly deals with Control theory, Fault tolerance, Actuator, Observer and Control engineering.
His research is interdisciplinary, bridging the disciplines of Turbine and Control theory.
Ron J. Patton has included themes like Control, Exponential stability, Linear system and Fault detection and isolation in his Fault tolerance study.
His study in Fault detection and isolation is interdisciplinary in nature, drawing from both Residual and Robust control.
In general Control engineering, his work in Sliding mode control is often linked to Active fault linking many areas of study.
His work carried out in the field of Robustness brings together such families of science as Control system, Control reconfiguration, State observer, Descriptor systems and Decentralised system.
Between 2013 and 2021, his most popular works were:
- A new strategy for integration of fault estimation within fault-tolerant control (145 citations)
- Fault-tolerant wind turbine pitch control using adaptive sliding mode estimation (71 citations)
- An active fault tolerant control approach to an offshore wind turbine model (65 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Algorithm
The scientist’s investigation covers issues in Control theory, Fault tolerance, Robustness, Control engineering and Integrated design.
His Control theory study combines topics in areas such as Turbine and Fault detection and isolation.
In his research on the topic of Fault detection and isolation, Compensation is strongly related with Robust control.
His research on Fault tolerance also deals with topics like
- Linear matrix inequality that intertwine with fields like Fuzzy logic,
- Control theory which connect with Observer and Lipschitz continuity.
His biological study deals with issues like Descriptor systems, which deal with fields such as Bounded function, State estimator, System model and Observer.
In the subject of general Control engineering, his work in State observer is often linked to Active fault, thereby combining diverse domains of study.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
